2013

Analyzing the Social Web

Golbeck, Jennifer 

Morgan Kauffman, 2013

Subject Matter Categorization of Tags Applied to Digital Images from Art Museums

Rebecca LaPlante, Judith Klavans, Jennifer Golbeck.

Journal of the American Society for Information Science and Technology. 23 pages, in press.

                        
    
      
    
   
                     
Flexible Framework for Probabilistic Models of Social Trust

Bert Huang, Angelika Kimmig and Lise Getoor and Jennifer Golbeck.

In 2013 Conference on Social Computing, Behavioral Modeling and Prediction, 9 pages. April 2013, College Park, MD

                        
    @article{huang2013flexible,
  title={A flexible framework for probabilistic models of social trust},
  author={Huang, Bert and Kimmig, Angelika and Getoor, Lise and Golbeck, Jennifer},
  journal={Lecture Notes in Computer Science},
  year={2013}
}

      
    
   
                     
Exploring Pet Video Chat: Remote Awareness and Interaction Needs of Families with Dogs and Cats

Carman Neustaedter and Jennifer Golbeck.

Proceedings of Computer Supported Cooperative Work (CSCW'13), 6 pages. February 2013, San Antonio, TX

                        
      @inproceedings{Neustaedter:2013:EPV:2441776.2441953,
 author = {Neustaedter, Carman and Golbeck, Jennifer},
 title = {Exploring pet video chat: the remote awareness and interaction needs of families with dogs and cats},
 booktitle = {Proceedings of the 2013 conference on Computer supported cooperative work},
 series = {CSCW '13},
 year = {2013},
 isbn = {978-1-4503-1331-5},
 location = {San Antonio, Texas, USA},
 pages = {1549--1554},
 numpages = {6},
 url = {http://doi.acm.org/10.1145/2441776.2441953},
 doi = {10.1145/2441776.2441953},
 acmid = {2441953},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {awareness, cats, dogs, interaction, pets, video-mediated communication},
} 


		
	
   
                     

2012

A Study of Multilingual Social Tagging of Art Images: Cultural Bridges and Diversity

Irene Eleta and Jennifer Golbeck

In Proceedings of Computer Supported Cooperative 40% Work (CSCW’12), pages 695–704. February 2012, Seattle, Washington.

                        
      
		@inproceedings{Eleta:2012:SMS:2145204.2145310,
abstract = {The goal of this study is to compare social tagging patterns 
in two languages in image collections of art, while seeking exploitable 
strengths for the application of multilingual social tagging in digital 
libraries and museums. Crowdsourcing the annotation of digital image 
collections of artworks to different language communities has the 
potential to bridge language borders and reach wider audiences. This mixed 
methods study is based on a collection of digital images of paintings for 
which tags in Spanish and English were collected. The results show that 
the level of agreement in the vocabulary describing an image does not 
change significantly when adding a second language, but different cultural 
perspectives can be found for certain images when comparing less frequent 
tags across languages. Understanding and comparing tagging behaviors 
across languages is necessary for the design of user interfaces that 
support diversity and encourage sharing of perspectives about the artwork 
images.},
address = {New York, NY, USA},
author = {Eleta, Irene and Golbeck, Jennifer},
booktitle = {Proceedings of the ACM 2012 Conference on Computer Supported 
Cooperative Work},
doi = {10.1145/2145204.2145310},
isbn = {978-1-4503-1086-4},
keywords = {art images,culture,digital image collections,image 
annotation,image search,metadata,multilingual,social tagging},
language = {English},
pages = {695--704},
publisher = {ACM},
series = {CSCW '12},
title = {{A Study of Multilingual Social Tagging of Art Images: Cultural 
Bridges and Diversity}},
url = {http://doi.acm.org/10.1145/2145204.2145310},
year = {2012}
}
	
   
                     
The Twitter Mute Button: A Web Filtering Challenge

Jennifer Golbeck

In Proceedings of the 30th International Conference on Human Factors in Computing Systems 23% (CHI ’12), pages 2755–2758. May 2012, Austin, TX.

                        
                        @inproceedings
                        {Golbeck:2012:TMB:2208636.2208673,
abstract = {The microblogging service Twitter has become an important, and 
sometimes primary, source of information for many users. As a forum for 
sharing news and discussing events, it can provide instant access to the 
latest updates, but this is not always welcome. In the case of television 
shows or live sporting events, for example, tweets about them may reveal 
spoilers to users in different time zones or who are delaying their 
viewing until later. More broadly, because Twitter is a broadcast medium, 
users may often want to temporarily or permanently hide content about a 
very specific given topic. In this paper, we describe the unique 
challenges to HCI, social computing, and computational linguistics posed 
by the task of building an interface that blocks all tweets about a 
specific event or topic. We illustrate some of the challenges through a 
pilot experiment run for three major television events: the 2009 NFC 
Championship football game, the 2010 mid-season finale of the show Glee, 
and the 2010 season premiere of the show 24. While simple techniques 
achieve very high recall (>98%), spoilers still make it through the filter 
and precision is extremely poor. We conclude with a description of 
challenges to the community in implementing this new and increasingly 
important feature.},
address = {New York, NY, USA},
author = {Golbeck, Jennifer},
booktitle = {Proceedings of the 2012 ACM annual conference on Human 
Factors in Computing Systems},
doi = {10.1145/2208636.2208673},
isbn = {978-1-4503-1015-4},
keywords = {computational linguistics,filtering,twitter},
language = {English},
pages = {2755--2758},
publisher = {ACM},
series = {CHI '12},
title = {{The Twitter Mute Button: A Web Filtering Challenge}},
url = {http://doi.acm.org/10.1145/2208636.2208673 
http://dl.acm.org/ft_gateway.cfm?id=2208673&ftid=1217386&dwn=1&CFID=105118931&CFTOKEN=81732983},
year = {2012}
}
      
		
	
   
                     
Exploring Data Distributions: Visual Design and Evaluation

Awalin Sopan, Manuel Freire, Meirav Taieb-Maimon, Catherine Plaisant, Jennifer Golbeck, and Ben Shneiderman

International Journal of Human-Computer Interaction. 27 pages, in press.

                        
      
		@article{Sopanb,
abstract = {Visual overviews of tables of numerical and categorical data 
have been proposed for tables with a single value per cell. In this paper 
we address the problem of exploring tables including columns consisting of 
distributions, e.g. the distributions of movie ratings or trust ratings in 
recommender systems, age distributions in demographic data, usage 
distributions in logs of telephone calls etc. We propose a novel way of 
displaying and interacting with distribution data, and present the results 
of a usability study that demonstrates the benefits of the interface in 
providing an overview of the data and facilitating the discovery of 
interesting clusters, patterns, outliers and relationships between 
columns.},
author = {Sopan, Awalin and Freire, Manuel and Taieb-Maimon, Meirav and 
Plaisant, Catherine and Golbeck, Jennifer and Shneiderman, Ben},
doi = {10.1080/10447318.2012.687676},
file = {:Users/amrogers/Library/Application Support/Mendeley 
Desktop/Documents/2010/Sopan et al/Sopan et al. - 2010 - Exploring Data 
Distributions Visual Design and Evaluation.pdf:pdf},
journal = {International Journal of Human-Computer Interaction},
keywords = {Information visualization,distributions,overview,tabular 
visualization},
language = {English},
month = apr,
number = {7},
publisher = {Taylor & Francis, Inc.},
title = {{Exploring Data Distributions: Visual Design and Evaluation}},
url = {http://www.tandfonline.com/doi/abs/10.1080/10447318.2012.687676},
volume = {28},
year = {2010}
}
	
   
                     
Understanding and changing older adults perceptions and learning of social media

Xie, B., Watkins, I., Golbeck, J., & Huang, M.

Educational Gerontology, (38)4: 282–296.

                        
      
		
	
   
                     
Predicting personality with social behavior

Sibel Adali and Jennifer Golbeck.

In 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 8 pages. August 2012, Istanbul, Turkey.

     
     
   
Advice and Trust in Games of Choice

Buntain ,Cody, Jennifer Golbeck, Dana Nau, and Sarit Kraus

In Tenth Annual Conference on Privacy, Security and Trust, 2 pages. July 2012, Paris, France.

      
      
   
Making trusted attribute assertions online with the publish trust framework

Jennifer Golbeck, Hal Warren, and Eva Winer

In Tenth Annual Conference on Privacy, Security and Trust, 2 pages. July 2012, Paris, France.

                        
      
		
	
   
                     
Is facebook appropriate for the classroom? a comparison of student and faculty perspectives.

David Yates and Jennifer Golbeck.

In Proceedings of the Euro-American Conference for Academic Disciplines and Creativity, 27 pages. June 2012, Prague, Czech Republic.

      
      
   
STEM initiatives for improved communication skills in the zombie apocalypse

Jennifer Golbeck.

In Proceedings of the 2012 ACM Conference on Human Factors in Computing Systems Extended Abstracts, pages 1425–1426. May 2012, Austin, TX.

     
      
		@inproceedings{Golbeck:2012:SII:2212776.2212467,
abstract = {The threat of the zombie apocalypse has finally begun to reach a level of popular concern, both in the media and in government organizations like the U.S. Centers for Disease Control and Prevention. The zombie apocalypse and subsequent destruction of modern communication technologies will present a unique challenge to future generations. This video describes new STEM initiatives that will enable today's children to maintain vital information links once the undead hordes are upon us.},
address = {New York, NY, USA},
author = {Golbeck, Jennifer},
booktitle = {Proceedings of the 2012 ACM annual conference extended abstracts on Human Factors in Computing Systems Extended Abstracts},
doi = {10.1145/2212776.2212467},
isbn = {978-1-4503-1016-1},
keywords = {social networks,zombies},
language = {English},
pages = {1423--1424},
publisher = {ACM},
series = {CHI EA '12},
title = {{STEM initiatives for improved communication skills in the zombie apocalypse}},
url = {http://doi.acm.org/10.1145/2212776.2212467},
year = {2012}
}
	
   
Pet video chat: monitoring and interacting with dogs over distance

Jennifer Golbeck and Carman Neustaedter.

In Proceedings of the 2012 ACM Conference on Human Factors in Computing Systems Extended Abstracts, pages 1425–1426. May 2012, Austin, TX.

    
      
		@inproceedings{Golbeck:2012:PVC:2212776.2212799,
abstract = {Companies are now making video-communication systems that allow pet owners to see, and, in some cases, even interact with their pets when they are separated by distance. Such 'doggie cams' show promise, yet it is not clear how pet video chat systems should be designed (if at all) in order to meet the real needs of pet owners. To investigate the potential of interactive dog cams, we then designed our own pet video chat system that augments a Skype audio-video connection with remote interaction features and evaluated it with pet owners to understand its usage. Our results show promise for pet video chat systems that allow owners to see and interact with their pets while away.},
address = {New York, NY, USA},
author = {Golbeck, Jennifer and Neustaedter, Carman},
booktitle = {Proceedings of the 2012 ACM annual conference extended abstracts on Human Factors in Computing Systems Extended Abstracts},
doi = {10.1145/2212776.2212799},
file = {:Users/amrogers/Library/Application Support/Mendeley Desktop/Documents/2012/Golbeck, Neustaedter/Golbeck, Neustaedter - 2012 - Pet video chat monitoring and interacting with dogs over distance.pdf:pdf},
isbn = {978-1-4503-1016-1},
keywords = {dogs,pets,video conferencing},
language = {English},
pages = {211--220},
publisher = {ACM},
series = {CHI EA '12},
title = {{Pet video chat: monitoring and interacting with dogs over distance}},
url = {http://doi.acm.org/10.1145/2212776.2212799 http://dl.acm.org/citation.cfm?id=2212799 http://altchi.org/login.php?action=showsubmission&id=30&},
year = {2012}
} 
	 
   
Bridging Languages in Social Networks: How Multilingual Users of Twitter Connect Language Communities?

Irena Eleta and Jennifer Golbeck

ASIS&T 2012 Annual Meeting, October 2012, Baltimore, Maryland.

                        
      
		
	
   
                     
Probabilistic Soft Logic for Trust Analysis in Social Networks

Bert Huang, Angelika Kimmigand Lise Getoor and Jennifer Golbeck

International Workshop on Statistical Relational AI. August 2012, Catalina Island, CA.

    
      
    
   
Facebook Relationships in the Workplace

Cristina Robles and Jennifer Golbeck

Proceedings of CompleNet 2012 . March 2012, Marathon, Florida.

     
     
   

2011

An Experimental Study of Social Tagging Behavior and Image Content

Jennifer Golbeck, Jes Koepfler, Beth Emmerling

Journal of the American Society for Information Science and Technology, 62(9): 1750–1760.

                        
      
		@article{Golbeck:2011:ESS:2024018.2024019,
abstract = {Social tags have become an important tool for improving access 
to online resources, particularly non-text media. With the dramatic growth 
of user-generated content, the importance of tags is likely to grow. 
However, while tagging behavior is well studied, the relationship between 
tagging behavior and features of the media being tagged is not well 
understood. In this paper, we examine the relationship between tagging 
behavior and image type. Through a lab-based study with 51 subjects and an 
analysis of an online dataset of image tags, we show that there are 
significant differences in the number, order, and type of tags that users 
assign based on their past experience with an image, the type of image 
being tagged, and other image features. We present these results and 
discuss the significant implications this work has for tag-based search 
algorithms, tag recommendation systems, and other interface issues.},
address = {New York, NY, USA},
author = {Golbeck, Jennifer and Koepfler, Jes and Emmerling, Beth},
doi = {10.1002/asi},
issn = {1532-2882},
journal = {Journal of the American Society for Information Science and 
Technology},
keywords = {image analysis,image indexing,metadata,physical 
attributes,user behavior},
language = {English},
month = sep,
number = {9},
pages = {1750--1760},
publisher = {Wiley Subscription Services, Inc., A Wiley Company},
title = {{An Experimental Study of Social Tagging Behavior and Image 
Content}},
url = {http://dx.doi.org/10.1002/asi.21522},
volume = {62},
year = {2011}
}
	
   
                     
Computing Political Preference Among Twitter Followers

Jennifer Golbeck and Derek L. Hansen

In Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems - CHI '11, New York, NY, USA,2011 (pp. 1105–1108). ACM.

                        
      
		@inproceedings {1979106,
         			 abstract = {There is great interest in 
understanding media bias and political information seeking preferences. As 
many media outlets create online personas, we seek to automatically 
estimate the political preferences of their audience, rather than of the 
outlet itself. In this paper, we present a novel method for computing 
preference among an organization's Twitter followers. We present an 
application of this technique to estimate political preference of the 
audiences of U.S. media outlets. We also discuss how these results may be 
used and extended.},
         			 address = {New York, NY, USA},
         			 author = {Golbeck, Jennifer and Hansen, 
Derek L.},
         			 booktitle = {Proceedings of the 2011 
Annual Conference on Human Factors in Computing Systems - CHI '11},
         			 doi = 
{http://doi.acm.org/10.1145/1978942.1979106},
         			 file = {Golbeck, Hansen - 2011 - 
Computing Political Preference Among Twitter Followers.pdf:pdf},
         			 isbn = {978-1-4503-0228-9},
         			 keywords = 
{Twitter;conservative;journalism;liberal;news;politics},
         			 language = {English},
         			 month = {may},
         			 pages = {1105--1108},
         			 publisher = {ACM},
         			 title = {Computing Political Preference 
Among Twitter Followers},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1978942.1979106},
         			 year = {2011}
      
		}
	
   
                     
Predicting Personality from Twitter

Jennifer Golbeck, Cristina Robles, Michon Edmondson, and Karen Turner

In Proceedings of the 3rd IEEE International Conference on Social Computing, Boston, Massachusetts, USA,2011 (pp. 149–156)

                        
      
		@inproceedings {SocialCom-319,
         			 abstract = {Social media is a place where 
users present themselves to the world, revealing personal details and 
insights into their lives. We are beginning to understand how some of this 
information can be utilized to improve the users’ experiences with 
interfaces and with one another. In this paper, we are interested in the 
personality of users. Personality has been shown to be relevant to many 
types of interactions; it has been shown to be useful in predicting job 
satisfaction, professional and romantic relationship success, and even 
preference for different interfaces. Until now, to accurately gauge 
users’ personalities, they needed to take a personality test. This made 
it impractical to use personality analysis in many social media domains. 
In this paper, we present a method by which a user’s personality can be 
accurately predicted through the publicly available information on their 
Twitter profile. We will describe the type of data collected, our methods 
of analysis, and the machine learning techniques that allow us to 
successfully predict personality. We then discuss the implications this 
has for social media design, interface design, and broader domains.},
         			 address = {Boston, Massachusetts, USA},
         			 author = {Golbeck, Jennifer and Robles, 
Cristina and Edmondson, Michon and Turner, Karen},
         			 booktitle = {Proceedings of the 3rd IEEE 
International Conference on Social Computing},
         			 doi = {978-0-7695-4578-3/11},
         			 file = {Golbeck et al. - 2011 - 
Predicting Personality from Twitter.pdf:pdf},
         			 isbn = {9780769545783},
         			 keywords = {personality;social media},
         			 pages = {149--156},
         			 title = {Predicting Personality from 
Twitter},
         			 url = 
{http://www.iisocialcom.org/conference/socialcom2011/index.html},
         			 year = {2011}
      
		}
	
   
                     
Caretaker: A Social Game for Studying Trust Dynamics

Nicholas Violi, Jennifer Golbeck, Kan-leung Cheng, and Ugur Kuter

In Proceedings of the 3rd IEEE International Conference on Social Computing, Boston, Massachusetts, USA, 2011 (pp. 451–456)

                        
      
		@inproceedings {SocialCom-394,
         			 abstract = {We present a new strategy for 
studying trust determination, especially in the context of dynamic trust. 
We created a game in which the players start with neutral trust for each 
other, have assigned roles (“good” or “bad”) and an incentive to 
deduce the roles of the other players, and are encouraged to take part in 
social and economic interactions with each other, thereby gathering data 
with which to make trust determinations. By running user tests, we show 
that a game with these components generates useful data with which the 
players’ decisions regarding trust for each other can be observed and 
better understood. We show that players are more likely to increase their 
self-reported trust for each other after engaging in an economic 
transaction, and, surprisingly, their trust for each other increases by a 
larger margin when the transaction was asymmetric. We also present an 
analysis of the chat that the players participated in, via an in-game chat 
system. We show that the two most popular topics of discussion are trade 
requests and game administration, and suggest possible future work in 
comparing the players’ chat actions to their trust for each other.},
         			 address = {Boston, Massachusetts, USA},
         			 author = {Violi, Nicholas and Golbeck, 
Jennifer and Cheng, Kan-leung and Kuter, Ugur},
         			 booktitle = {Proceedings of the 3rd IEEE 
International Conference on Social Computing},
         			 doi = {978-0-7695-4578-3/11},
         			 file = {Violi et al. - 2011 - Caretaker A 
Social Game for Studying Trust Dynamics.pdf:pdf},
         			 isbn = {9780769545783},
         			 keywords = {dynamic 
trust;games;social;social games;strategy;trust},
         			 pages = {451--456},
         			 title = {Caretaker: A Social Game for 
Studying Trust Dynamics},
         			 url = 
{http://www.iisocialcom.org/conference/socialcom2011/index.html},
         			 year = {2011}
      
		}
	
   
                     
The More People I Meet , The More I Like My Dog : A Study of Pet-Oriented Social Networks on the Web

Golbeck, Jennifer

First Monday, 16(2)

                        
      
		@article {Golbeck2011,
         			 abstract = {Online social networks are 
one of the largest uses of the Web, and growing rapidly. They are also 
being used actively by pet owners. Just as pet owners are different, we 
might expect their needs within a social network to differ. In this work, 
we present an analysis of dog-- and cat--owners behavior in pet--oriented 
social networks. Our results show that dog and cat owners use these sites 
quite differently. While dog owners focus on their relationship with their 
pets and looking for advice, cat owners tend to use the site more to build 
community. Both results show that these pet social networks are already 
being used to help support the human--animal bond online, and that 
different types of pet owners would benefit from different types of 
support within the systems. We discuss the implications of these results 
for designing networks to support different types of users and what this 
means for the understanding of passion--based social networks.},
         			 address = {Boston, Massachusetts},
         			 author = {Golbeck, Jennifer},
         			 file = {Golbeck - 2011 - The More People 
I Meet , The More I Like My Dog A Study of Pet-Oriented Social Networks on 
the Web.pdf:pdf},
         			 institution = {University of Maryland, 
College Park},
         			 isbn = {9781605582467},
         			 journal = {First Monday},
         			 keywords = {human-animal bond;social 
networks},
         			 language = {English},
         			 month = {jan},
         			 number = {2},
         			 publisher = {University of Illinois at 
Chicago University Library},
         			 title = {The More People I Meet , The 
More I Like My Dog : A Study of Pet-Oriented Social Networks on the Web},
         			 url = 
{http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/fm/article/viewArticle/2859/2765 
http://www.firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/2859/2765},
         			 volume = {16},
         			 year = {2011}
      
		}
	
   
                     
Coevolving Strategies in Social-Elimination Games

Kan-leung Cheng, Ugur Kuter, and Jennifer Golbeck

In Proceedings of the 3rd IEEE International Conference on Social Computing, Boston, Massachusetts, USA, 2011 (pp.118–126)

                        
      
		@inproceedings {SocialCom-284,
         			 abstract = {Social games provide a 
framework to study how individuals and groups of individuals interact with 
each other, and develop strategies to achieve their own well-defined 
objectives. This paper provides a coevolutionary analysis of how different 
strategies evolves in a class of social games. We describe a new formalism 
for modeling a player that is capable of learning and adapting its 
strategies to act with the other members of its own group and against 
those of a conflicting group. We define two example player models based on 
the formalism. We also propose a methodology to compare different player 
models using coevolution. Our experimental results show that different 
groups develop, in an alternating fashion, counter-strategies against the 
other groups over time and the performance a player depends on the 
player’s ability to adapt to its opponent’s strategies.},
         			 address = {Boston, Massachusetts, USA},
         			 author = {Cheng, Kan-leung and Kuter, 
Ugur and Golbeck, Jennifer},
         			 booktitle = {Proceedings of the 3rd IEEE 
International Conference on Social Computing},
         			 doi = {978-0-7695-4578-3/11},
         			 file = {Cheng, Golbeck - 2011 - 
Coevolving Strategies in Social-Elimination Games.pdf:pdf},
         			 isbn = {9780769545783},
         			 keywords = {coevolution;evolution and 
adaptation;games on social conflicts},
         			 pages = {118--126},
         			 title = {Coevolving Strategies in 
Social-Elimination Games},
         			 url = 
{http://www.iisocialcom.org/conference/socialcom2011/index.html},
         			 year = {2011}
      
		}
	
   
                     
The More People I Meet , The More I Like My Dog : A Study of Pet-Oriented Social Networks on the Web

Golbeck, Jennifer

First Monday, 16(2)

                        
      
		@article {Golbeck2011,
         			 abstract = {Online social networks are 
one of the largest uses of the Web, and growing rapidly. They are also 
being used actively by pet owners. Just as pet owners are different, we 
might expect their needs within a social network to differ. In this work, 
we present an analysis of dog-- and cat--owners behavior in pet--oriented 
social networks. Our results show that dog and cat owners use these sites 
quite differently. While dog owners focus on their relationship with their 
pets and looking for advice, cat owners tend to use the site more to build 
community. Both results show that these pet social networks are already 
being used to help support the human--animal bond online, and that 
different types of pet owners would benefit from different types of 
support within the systems. We discuss the implications of these results 
for designing networks to support different types of users and what this 
means for the understanding of passion--based social networks.},
         			 address = {Boston, Massachusetts},
         			 author = {Golbeck, Jennifer},
         			 file = {Golbeck - 2011 - The More People 
I Meet , The More I Like My Dog A Study of Pet-Oriented Social Networks on 
the Web.pdf:pdf},
         			 institution = {University of Maryland, 
College Park},
         			 isbn = {9781605582467},
         			 journal = {First Monday},
         			 keywords = {human-animal bond;social 
networks},
         			 language = {English},
         			 month = {jan},
         			 number = {2},
         			 publisher = {University of Illinois at 
Chicago University Library},
         			 title = {The More People I Meet , The 
More I Like My Dog : A Study of Pet-Oriented Social Networks on the Web},
         			 url = 
{http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/fm/article/viewArticle/2859/2765 
http://www.firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/2859/2765},
         			 volume = {16},
         			 year = {2011}
      
		}
	
   
                     
Predicting Trust and Distrust in Social Networks. 

Thomas Dubois, Jennifer Golbeck, and Aravind Srinivasan

In Proceedings of the 3rd IEEE International Conference on Social Computing, Boston, Massachusetts, 2011

                        
      
		@inproceedings {SocialCom-228,
         			 abstract = {As user-generated content and 
interactions have overtaken the web as the default mode of use, questions 
of whom and what to trust have become increasingly important. Fortunately, 
online social networks and social media have made it easy for users to 
indicate whom they trust and whom they do not. However, this does not 
solve the problem since each user is only likely to know a tiny fraction 
of other users; we must have methods for inferring trust - and distrust - 
between users who do not know one another. In this paper, we present a new 
method for computing both trust and distrust (i.e., positive and negative 
trust). We do this by combining an inference algorithm that relies on a 
probabilistic interpretation of trust based on random graphs with a 
modified spring-embedding algorithm. Our algorithm correctly classifies 
hidden trust edges as positive or negative with high accuracy. These 
results are useful in a wide range of social web applications where trust 
is important to user behavior and satisfaction.},
         			 address = {Boston, Massachusetts},
         			 annote = {SocialCom 2011 Best Paper 
Award},
         			 author = {Dubois, Thomas and Golbeck, 
Jennifer and Srinivasan, Aravind},
         			 booktitle = {Proceedings of the 3rd IEEE 
International Conference on Social Computing},
         			 file = {Dubois, Golbeck, Srinivasan - 
2011 - Predicting Trust and Distrust in Social Networks.pdf:pdf},
         			 title = {Predicting Trust and Distrust in 
Social Networks},
         			 url = 
{http://www.iisocialcom.org/conference/socialcom2011/index.html},
         			 year = {2011}
      
		}
	
   
                     
Predicting Personality with Social Media

Jennifer Golbeck, Cristina Robles, Karen Turner

Proceedings of alt.chi, ACM Conference on Human Factors in Computing (CHI 2011), pages 253–262. April 2011, Vancouver, Canada.

                        
      
		@article{Golbeck2011c,
abstract = {Social media is a place where users present themselves to the world, revealing personal details and insights into their lives. We are beginning to understand how some of this information can be utilized to improve the users’ experiences with interfaces and with one another. In this paper, we are interested in the personality of users. Personality has been shown to be relevant to many types of interactions; it has been shown to be useful in predicting job satisfaction, professional and romantic relationship success, and even preference for different interfaces. Until now, to accurately guage users’ personalities, they needed to take a personality test. This made it impractical to use personality analysis in many social media domains. In this paper, we present a method by which a user’s personality can be accurately predicted through the publicly available information on their Facebook profile. We will describe the type of data collected, our methods of analysis, and the machine learning techniques that allow us to successfully predict personality. We then discuss the implications this has for social media design, interface design, and broader domains.},
author = {Golbeck, Jennifer},
doi = {10.1145/1979742.1979614},
file = {:Users/amrogers/Library/Application Support/Mendeley Desktop/Documents/2011/Golbeck/Golbeck - 2011 - Predicting Personality with Social Media.pdf:pdf},
isbn = {9781450302685},
journal = {Proceedings of the 2011 Annual Conference Extended Abstracts on Human factors in Computing Systems CHI EA 11 (2011)},
keywords = {personality,social media},
language = {English},
pages = {253--262},
title = {{Predicting Personality with Social Media}},
year = {2011}
}
	
   
                     
Leveraging the Semantic Web to Enable Content Mashup For End Users

James Michaelis, Jennifer Golbeck, James Hendler

Proceedings of HCI International 2011, 10 pages. July 2011, Orlando, Florida.

                        
      
		
	
   
                     

2010

Curator : A Game with a Purpose for Collection Recommendation

Greg Walsh and Jennifer Golbeck

In Proceedings of the 28th International Conference on Human Factors in Computing Systems - CHI '10, Atlanta, Georgia, USA, 2010 (pp. 2079-2082). ACM Press.

                        
      
		@inproceedings {Walsh2010b,
         			 address = {Atlanta, Georgia, USA},
         			 author = {Walsh, Greg and Golbeck, 
Jennifer},
         			 booktitle = {Proceedings of the 28th 
International Conference on Human Factors in Computing Systems - CHI '10},
         			 doi = {10.1145/1753326.1753643},
         			 file = {Walsh, Golbeck - 2010 - Curator A 
Game with a Purpose for Collection Recommendation.pdf:pdf},
         			 isbn = {978-1-60558-929-9},
         			 keywords = {games with a purpose;human 
computation;recommender systems;serious games},
         			 language = {English},
         			 month = {apr},
         			 pages = {2079--2082},
         			 publisher = {ACM Press},
         			 title = {Curator : A Game with a Purpose 
for Collection Recommendation},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1753326.1753643},
         			 year = {2010}
      
		}
	
   
                     
Using Probabilistic Confidence Models for Trust Inference in Web-Based Social Networks

Ugur Kuter and Jennifer Golbeck

ACM Transactions on Internet Technology, 10(2), 1-23

                        
      
		@article {1754397,
         			 abstract = {In this article, we describe 
a new approach that gives an explicit probabilistic interpretation for 
social networks. In particular, we focus on the observation that many 
existing Web-based trust- inference algorithms conflate the notions of 
“trust” and “confidence,” and treat the amalgamation of the two 
concepts to compute the trust value associated with a social relationship. 
Unfortunately, the result of such an algorithm that merges trust and 
confidence is not a trust value, but rather a new variable in the 
inference process. Thus, it is hard to evaluate the outputs of such an 
algorithm in the context of trust inference. This article first describes 
a formal probabilistic networkmodel for social networks that allows us to 
address that issue. Then we describe SUNNY, a new trust inference 
algorithm that uses probabilistic sampling to separately estimate trust 
information and our confidence in the trust estimate and use the two 
values in order to compute an estimate of trust based on only those 
information sources with the highest confidence estimates. We present an 
experimental evaluation of SUNNY. In our experiments,SUNNYproduced more 
accurate trust estimates than thewell-known trust inference algorithm 
TIDALTRUST, demonstrating its effectiveness. Finally, we discuss the 
implications these results will have on systems designed for personalizing 
content and making recommendations.},
         			 address = {New York, NY, USA},
         			 author = {Kuter, Ugur and Golbeck, 
Jennifer},
         			 doi = {10.1145/1754393.1754397},
         			 file = {Kuter, Golbeck - 2010 - Using 
Probabilistic Confidence Models for Trust Inference in Web-Based Social 
Networks.pdf:pdf},
         			 institution = {University of Maryland, 
College Park},
         			 issn = {1533-5399},
         			 journal = {ACM Transactions on Internet 
Technology},
         			 keywords = {Bayesian networks;Social 
networks;trust},
         			 language = {English},
         			 month = {may},
         			 number = {2},
         			 pages = {1--23},
         			 publisher = {ACM},
         			 title = {Using Probabilistic Confidence 
Models for Trust Inference in Web-Based Social Networks},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1754393.1754397},
         			 volume = {10},
         			 year = {2010}
      
		}
	
   
                     
Twitter Use by the U.S. Congress

Jennifer Golbeck, Justin M. Grimes, and Anthony Rogers

Journal of the American Society for Information Science and Technology, 61(8), 1612–1621

                        
      
		@article {Golbeck2010g,
         			 abstract = {Twitter is a microblogging 
and social networking service with millions of members and growing at a 
tremendous rate. With the buzz surrounding the service have come claims of 
its ability to transform the way people interact and share information, 
and calls for public figures to start using the service. In this study, we 
are interested in the type of content that legislators are posting to the 
service, particularly by members of the United States Congress. We read 
and coded over 6,000 posts from all members of Congress using the site. 
Our analysis shows that Congresspeople are primarily using Twitter to post 
information, particularly links to news articles about themselves and to 
their blog posts, and to report on their daily activities. These tend not 
to provide new insights into government or the legislative process or to 
improve transparency; rather, they are vehicles for self-promotion. 
However, Twitter is also facilitating direct communication between 
Congresspeople and citizens, though this is a less popular activity. We 
report on our findings and analysis, and discuss other uses of Twitter for 
legislators.},
         			 address = {New York, NY, USA},
         			 author = {Golbeck, Jennifer and Grimes, 
Justin M. and Rogers, Anthony},
         			 doi = {10.1002/asi.v61:8},
         			 file = {Golbeck, Grimes, Rogers - 2010 - 
Twitter Use by the U.S. Congress.pdf:pdf},
         			 issn = {1532-2882},
         			 journal = {Journal of the American 
Society for Information Science and Technology},
         			 keywords = {Twitter;communication 
patterns;content analysis;government;user generated content},
         			 language = {English},
         			 month = {aug},
         			 number = {8},
         			 pages = {1612--1621},
         			 publisher = {John Wiley \& Sons, 
Inc.},
         			 title = {Twitter Use by the U.S. 
Congress},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1869347.1869351},
         			 volume = {61},
         			 year = {2010}
      
		}
	
   
                     
Computing with Social Trust (1st).

Golbeck, Jennifer 

Springer Publishing Company, Incorporated

                        
      
		@book {1481015,
         			 author = {Golbeck, Jennifer},
         			 edition = {1st},
         			 editor = {Golbeck, Jennifer},
         			 isbn = {1848003552, 9781848003552},
         			 language = {English},
         			 month = {dec},
         			 publisher = {Springer Publishing Company, 
Incorporated},
         			 title = {Computing with Social Trust},
         			 type = {Book},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1965461 
http://www.amazon.com/Computing-Social-Trust-Human-Computer-Interaction/dp/1849967938/ref=sr_1_1?ie=UTF8\&qid=1316442296\&sr=8-1 
http://openlibrary.org/books/OL24546514M/Computing_with_social_trust},
         			 year = {2010}
      
		}
	
   
                     
Trust In Social Q&A: The Impact of Text and Photo Cues of Expertise

Jennifer Golbeck and Kenneth R. Fleischmann

In ASIS&T '10: Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem, Silver Springs, MD, USA, 2010 (pp. 1–10). American Society for Information Science

                        
      
		@inproceedings {1920442,
         			 abstract = {Users increasingly rely on 
social Q\&A sites to answer questions that are important to their 
everyday lives. Social Q\&A differs significantly from library-based 
reference services in that there is no guarantee that the individuals 
answering questions have relevant expertise or are relying on 
authoritative sources. This raises an important research question: what 
factors influence users’ trust in social Q\&A? This paper seeks to 
determine the role that text and photo cues of expertise have on users’ 
trust in answers in social Q\&A. The results of an experiment with 241 
subjects indicate that expertise cues in text lead to significantly higher 
trust among both experts and non-experts. However, expertise cues in 
photos increase trust among non-experts but do not increase trust among 
experts. These results indicate that both the expertise of the user and 
the expertise cues provided in the answer affect user trust in social 
Q\&A.},
         			 address = {Silver Springs, MD, USA},
         			 author = {Golbeck, Jennifer and 
Fleischmann, Kenneth R.},
         			 booktitle = {ASIS\&T '10: Proceedings 
of the 73rd ASIS\&T Annual Meeting on Navigating Streams in an 
Information Ecosystem},
         			 file = {Golbeck, Fleischmann - 2010 - 
Trust In Social Q\&A The Impact of Text and Photo Cues of 
Expertise.pdf:pdf},
         			 keywords = {information behavior;online 
communities;social Q\&A;social factors;trust},
         			 language = {English},
         			 month = {oct},
         			 pages = {1--10},
         			 publisher = {American Society for 
Information Science},
         			 series = {ASIS\&T '10},
         			 title = {Trust In Social Q\&A: The 
Impact of Text and Photo Cues of Expertise},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1920331.1920442},
         			 volume = {47},
         			 year = {2010}
      
		}
	
   
                     
Exploring Distributions : Design and Evaluation

Awalin Sopan, Manuel Freire, Meirav Taieb-Maimon, Catherine Plaisant, Jennifer Golbeck, and Ben Shneiderman

Published in International Journal of Human-Computer Interaction (Volume 28, Issue 7, 2012)

                        
      
		@article {Sopanb,
         			 abstract = {Visual overviews of tables of 
numerical and categorical data have been proposed for tables with a single 
value per cell. In this paper we address the problem of exploring tables 
including columns consisting of distributions, e.g. the distributions of 
movie ratings or trust ratings in recommender systems, age distributions 
in demographic data, usage distributions in logs of telephone calls etc. 
We propose a novel way of displaying and interacting with distribution 
data, and present the results of a usability study that demonstrates the 
benefits of the interface in providing an overview of the data and 
facilitating the discovery of interesting clusters, patterns, outliers and 
relationships between columns.},
         			 author = {Sopan, Awalin and Freire, 
Manuel and Taieb-Maimon, Meirav and Plaisant, Catherine and Golbeck, 
Jennifer and Shneiderman, Ben},
         			 file = {Sopan et al. - 2010 - Exploring 
Distributions Design and Evaluation.pdf:pdf},
         			 keywords = {Information 
visualization;distributions;overview;tabular visualization},
         			 language = {English},
         			 month = {apr},
         			 title = {Exploring Distributions : Design 
and Evaluation},
         			 url = 
{http://cgis.cs.umd.edu/localphp/hcil/tech-reports-search.php?number=2010-01},
         			 year = {2010}
      
		}
	
   
                     
ManyNets : An Interface for Multiple Network Analysis and Visualization

Manuel Freire, Catherine Plaisant, Ben Shneiderman, and Jennifer Golbeck

In CHI '10: Proceedings of the 28th International Conference on Human Factors in Computing Systems, New York, NY, 2010 (pp. 213-222). ACM.

                        
      
		@inproceedings {1753358,
         			 abstract = {Traditional network analysis 
tools support analysts in studying a single network. ManyNets offers these 
analysts a powerful new approach that enables them to work on multiple 
networks simultaneously. Several thousand networks can be presented as 
rows in a tabular visualization, and then inspected, sorted and filtered 
according to their attributes. The networks to be displayed can be 
obtained by subdivision of larger networks. Examples of meaningful 
subdivisions used by analysts include ego networks, community extraction, 
and time-based slices. Cell visualizations and interactive column 
overviews allow analysts to assess the distribution of attributes within 
particular sets of networks. Details, such as traditional node-link 
diagrams, are available on demand. We describe a case study analyzing a 
social network geared towards film recommendations by means of 
decomposition. A small usability study provides feedback on the use of the 
interface on a set of tasks issued from the case study.},
         			 address = {New York, NY},
         			 author = {Freire, Manuel and Plaisant, 
Catherine and Shneiderman, Ben and Golbeck, Jennifer},
         			 booktitle = {CHI '10: Proceedings of the 
28th International Conference on Human Factors in Computing Systems},
         			 doi = {10.1145/1753326.1753358},
         			 file = {Freire et al. - 2010 - ManyNets 
An Interface for Multiple Network Analysis and Visualization.pdf:pdf},
         			 isbn = {978-1-60558-929-9},
         			 keywords = {Exploratory 
analysis;Graphical User Interface;Information 
Visualization;Interaction;Network analysis;Table interface},
         			 language = {English},
         			 pages = {213--222},
         			 publisher = {ACM},
         			 series = {CHI '10},
         			 title = {ManyNets : An Interface for 
Multiple Network Analysis and Visualization},
         			 year = {2010}
      
		}
	
   
                     
Using Friendship Ties and Family Circles for Link Prediction

Elena Zheleva, Lise Getoor, Jennifer Golbeck, and Ugur Kuter

In Proceedings of the 2nd International Conference on Advances in Social Network Mining and Analysis, Berlin, Heidelberg, 2010 (pp. 97-113). Springer-Verlag.

                        
      
		@inproceedings {Zheleva-2008-UFT-1883692.1883698,
         			 abstract = {Social networks can capture a 
variety of relationships among the participants. Both friendship and 
family ties are commonly studied, but most existing work studies them in 
isolation. Here, we investigate how these networks can be overlaid, and 
propose a feature taxonomy for link prediction. We show that when there 
are tightly-knit family circles in a social network, we can improve the 
accuracy of link prediction models. This is done by making use of the 
family circle features based on the likely structural equivalence of 
family members. We investigated the predictive power of overlaying 
friendship and family ties on three real-world social networks. Our 
experiments demonstrate significantly higher prediction accuracy (between 
15% and 30% more accurate) compared to using more traditional features 
such as descriptive node attributes and structural features. The 
experiments also show that a combination of all three types of attributes 
results in the best precision-recall trade-off.},
         			 address = {Berlin, Heidelberg},
         			 author = {Zheleva, Elena and Getoor, Lise 
and Golbeck, Jennifer and Kuter, Ugur},
         			 booktitle = {Proceedings of the 2nd 
International Conference on Advances in Social Network Mining and 
Analysis},
         			 file = {Zheleva et al. - 2010 - Using 
Friendship Ties and Family Circles for Link Prediction.pdf:pdf},
         			 isbn = {3-642-14928-6, 
978-3-642-14928-3},
         			 language = {English},
         			 pages = {97--113},
         			 publisher = {Springer-Verlag},
         			 series = {SNAKDD'08},
         			 title = {Using Friendship Ties and Family 
Circles for Link Prediction},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1883692.1883698},
         			 year = {2010}
      
		}
	
   
                     
“Integrating Multiple Computational Techniques for Improving Image Access: Applications to Digital Collections”

Klavans, Judith, Jennifer Golbeck

Proceedings of the 2010 Grace Hopper Conference, 5 pages. September 2010, Atalanta, Georgia.

        

  	    
      

2009

Tutorial on Using Social Trust for Recommender Systems

Golbeck, Jennifer 

In Proceedings of the 3rd ACM conference on Recommender systems (RecSys '09), New York, NY, USA, 2009 (pp. 425-426). ACM.

                        
      
		@inproceedings {1639808,
         			 abstract = {As the Web has shifted to an 
interactive environment where vast amounts of content is created by users, 
the question of whom to trust and what information to trust has become 
both more important and more difficult to answer. At the same time, social 
networks have become very popular with over a billion accounts shared 
across hundreds of networks. Social trust relationships, derived from 
social networks, are uniquely suited to speak to the quality of online 
information; recommender systems are designed to personalize, sort, 
aggregate, and highlight information. Merging social networks, trust, and 
recommender systems can improve the accuracy of recommendations and 
improve the user’s experience. In this tutorial, we will cover the use 
of social trust in recommender systems. Topics including the computation 
of trust in social networks, integration of trust into recommender 
systems, and a discussion of when trust offers benefits and the challenges 
it presents.},
         			 address = {New York, NY, USA},
         			 author = {Golbeck, Jennifer},
         			 booktitle = {Proceedings of the 3rd ACM 
conference on Recommender systems (RecSys '09)},
         			 doi = 
{http://doi.acm.org/10.1145/1639714.1639808},
         			 file = {Golbeck - 2009 - Tutorial on 
Using Social Trust for Recommender Systems.pdf:pdf},
         			 isbn = {978-1-60558-435-5},
         			 keywords = {recommender systems;social 
networks;trust},
         			 language = {English},
         			 month = {oct},
         			 organization = {University of Maryland, 
College Park},
         			 pages = {425--426},
         			 publisher = {ACM},
         			 title = {Tutorial on Using Social Trust 
for Recommender Systems},
         			 year = {2009}
      
		}
	
   
                     
Semantic Web Service Composition in Social Environments

Ugur Kuter and Jennifer Golbeck

In ISWC '09: Proceedings of the 8th International Semantic Web Conference, Washington, DC, 2009 (pp. 344-358). Springer-Verlag.

                        
      
		@inproceedings {1693707,
         			 address = {Berlin, Heidelberg},
         			 author = {Kuter, Ugur and Golbeck, 
Jennifer},
         			 booktitle = {ISWC '09: Proceedings of the 
8th International Semantic Web Conference},
         			 doi = 
{http://dx.doi.org/10.1007/978-3-642-04930-9_22},
         			 isbn = {978-3-642-04929-3},
         			 pages = {344--358},
         			 publisher = {Springer-Verlag},
         			 title = {Semantic Web Service Composition 
in Social Environments},
         			 year = {2009}
      
		}
	
   
                     
Impact of Visualization Methods on Interaction with Search Results

Jennifer Golbeck and Chang Hu

International Journal, 0-4.

                        
      
		@article {Golbeck2009e,
         			 abstract = {There are many search and 
browsing tasks online where relevance scores are not particularly 
important to the user, but other scores like popularity or average rating 
can be very informative. If and how these scores are shown varies widely 
between systems. In this paper, we investigate different methods for 
visualizing these scores and how they affect user behavior. We conducted a 
controlled study with 21 subjects who each completed tasks with six 
different visualization methods. We found that there was no significant 
difference between the methods with respect to their impact on the user 
interaction with search results, but that there was a strong preference 
for having some sort of visualization. We discuss the experiment, results, 
and design implications that follow from this work.},
         			 address = {College Park, Maryland},
         			 author = {Golbeck, Jennifer and Hu, 
Chang},
         			 doi = {10.1016/0169-2070(88)90023-4},
         			 file = {Golbeck, Hu - 2009 - Impact of 
Visualization Methods on Interaction with Search Results.pdf:pdf},
         			 institution = {University of Maryland, 
College Park},
         			 isbn = {9781605582467},
         			 journal = {International Journal},
         			 keywords = {information visualization},
         			 language = {English},
         			 pages = {0--4},
         			 title = {Impact of Visualization Methods 
on Interaction with Search Results},
         			 url = 
{http://www.mendeley.com/research/impact-of-visualization-methods-on-interaction-with-search-results?utm_source=desktop\&utm_medium=1.0.1\&utm_campaign=open_catalog\&userDocumentId=1f0a6daf-975d-4b9e-9be9-94148e558ccc},
         			 year = {2009}
      
		}
	
   
                     
A Single Strong Disagreement Ruins a Recommender : Improving Recommendation Accuracy with a Simple Statistic

Golbeck, Jennifer 

Human-Computer Interaction.

                        
      
		@article {Golbeck2009d,
         			 abstract = {Research on the use of social 
trust relationships for collaborative filtering has shown that trust-based 
recommendations can outperform traditional methods in certain cases. This, 
in turn, lead to insights that tie trust to certain more subtle types of 
similarity between users which is not captured in the overall similarity 
measures normally used for making recommendations. In this study, we 
investigate the use these trust-inspired nuanced similarity measures 
directly for making recommendations. After describing previous research 
that identified these similarity statistics, we present an experiment run 
on two data sets: FilmTrust and MovieLens. Our results show that using a 
simple measure - the single largest difference between users - as a weight 
produces significantly more accurate results than a traditional 
collaborative filtering algorithm and in some cases also outperforms a 
model-based approach.},
         			 address = {Boston, Massachusetts},
         			 author = {Golbeck, Jennifer},
         			 file = {Golbeck - 2009 - A Single Strong 
Disagreement Ruins a Recommender Improving Recommendation Accuracy with a 
Simple Statistic.pdf:pdf},
         			 isbn = {9781605582467},
         			 journal = {Human-Computer Interaction},
         			 keywords = {collaborative 
filtering;profile similarity;recommender systems;trust},
         			 language = {English},
         			 title = {A Single Strong Disagreement 
Ruins a Recommender : Improving Recommendation Accuracy with a Simple 
Statistic},
         			 year = {2009}
      
		}
	
   
                     
The Community is Where the Rapport Is - On Sense and Structure in the YouTube Community

Thomas DuBois, Jennifer Golbeck, and Aravind Srinivasan

In 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, Washington, DC, USA, 2009 (pp. 655-658). IEEE Computer Society

                        
      
		@inproceedings {Rotman-2009-CRS-1556460.1556467,
         			 abstract = {YouTube is a video sharing 
repository, enabling users to post, share and discuss videos. Its stated 
mission is to create "an online video community"; however, YouTube is not 
commonly thought of as a community. Our aim in this study is to answer the 
question whether users have a "sense of community" towards YouTube, and if 
such feelings exist -- are they reflected in the explicit ties among 
members. To accomplish this, YouTube was examined using two different and 
complementing methods. Using Grounded Theory, we performed a detailed 
analysis of more than 30 videos and their corresponding textual comments, 
which discussed two topics: users' feelings about the YouTube community, 
and users' accounts of interaction within the community. We then performed 
a structural analysis on the ties these users display on their YouTube 
channels. This analysis showed that although users perceive YouTube to be 
a cohesive community, the explicit relationships in the friendship and 
subscription network are almost random. We suggest that users' sense of 
community is not necessarily related to the structure of the YouTube 
network, and may result from subjective affinity towards other users. This 
study also points out the importance of triangulating qualitative and 
quantitative data to get a deeper understanding of the nature of an online 
community.},
         			 address = {New York, NY, USA},
         			 author = {Rotman, Dana and Golbeck, 
Jennifer and Preece, Jennifer},
         			 booktitle = {Proceedings of the 4th 
International Conference on Communities and Technologies},
         			 doi = 
{http://doi.acm.org/10.1145/1556460.1556467},
         			 file = {Rotman, Golbeck, Preece - 2009 - 
The Community is Where the Rapport Is – On Sense and Structure in the 
YouTube Community.pdf:pdf},
         			 isbn = {978-1-60558-713-4},
         			 keywords = {grounded theory;online 
communities;small worlds;social networks;video-sharing;youtube},
         			 language = {English},
         			 organization = {University of Maryland},
         			 pages = {41--50},
         			 publisher = {ACM},
         			 series = {C\&T '09},
         			 title = {The Community is Where the 
Rapport Is – On Sense and Structure in the YouTube Community},
         			 url = 
{http://doi.acm.org/10.1145/1556460.1556467},
         			 year = {2009}
      
		}
	
   
                     
Rigorous Probabilistic Trust-Inference with Applications to Clustering

Awalin Sopan, Manuel Freire, Meirav Taieb-Maimon, Catherine Plaisant, Jennifer Golbeck, and Ben Shneiderman

Published in International Journal of Human-Computer Interaction (Volume 28, Issue 7, 2012)

                        
      
		@inproceedings {1632447,
         			 address = {Washington, DC, USA},
         			 author = {DuBois, Thomas and Golbeck, 
Jennifer and Srinivasan, Aravind},
         			 booktitle = {2009 IEEE/WIC/ACM 
International Joint Conference on Web Intelligence and Intelligent Agent 
Technology},
         			 doi = {10.1109/WI-IAT.2009.109},
         			 file = {DuBois, Golbeck, Srinivasan - 
2009 - Rigorous Probabilistic Trust-Inference with Applications to 
Clustering.pdf:pdf},
         			 isbn = {978-0-7695-3801-3},
         			 language = {English},
         			 pages = {655--658},
         			 publisher = {IEEE Computer Society},
         			 title = {Rigorous Probabilistic 
Trust-Inference with Applications to Clustering},
         			 url = 
{http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5284904},
         			 year = {2009}
      
		}
	
   
                     
Trust and Nuanced Profile Similarity in Online Social Networks

Golbeck, Jennifer 

 ACM Transactions on the Web, 3(4), 1-33.

                        
      
		@article {1594174,
         			 abstract = {The benefits of pet ownership 
to physical and mental health are extensive and well documented. Online 
social networks have the potential to strengthen these relationships and 
build community among pet owners. In this work, we present several results 
on the difference in behavior between dog and cat owners in pet-oriented 
social networks. We extend this analysis to divisions between urban and 
rural users. Our results show that there are significant differences among 
these groups. We propose a theory for future testing that more socially 
isolated the owners are from real-world communities of similar pet owners, 
the more active they are in forming social connections on these websites, 
and we offer initial evidence to support this. These results show that 
these pet social networks are already being used to help support the 
human-animal bond online, and that different types of pet owners would 
benefit from different types of support within the systems.},
         			 address = {New York, NY},
         			 author = {Golbeck, Jennifer},
         			 doi = 
{http://doi.acm.org/10.1145/1594173.1594174},
         			 file = {Golbeck - 2009 - On the Internet, 
Everybody Knows You're A Dog The Human-Pet Relationship in Online Social 
Networks.pdf:pdf},
         			 isbn = {978-1-60558-247-4},
         			 issn = {1559-1131},
         			 journal = {ACM Transactions on the Web},
         			 keywords = {online 
communities;pets;recommender systems;social networks;trust},
         			 language = {English},
         			 month = {sep},
         			 number = {4},
         			 pages = {1--33},
         			 publisher = {ACM},
         			 series = {CHI EA '09},
         			 title = {Trust and Nuanced Profile 
Similarity in Online Social Networks},
         			 url = 
{http://doi.acm.org/10.1145/1520340.1520689 
http://doi.acm.org/10.1145/1594173.1594174},
         			 volume = {3},
         			 year = {2009}
      
		}
	
   
                     
On the Internet, Everybody Knows You're A Dog: The Human-Pet Relationship in Online Social Networks

Golbeck, Jennifer

In Proceedings of the 27th International Conference Extended Abstracts on Human Factors in Computing Systems, New York, NY, 2009 (pp. 4495-4500). ACM.

                        
      
		@inproceedings {1520689,
         			 abstract = {The benefits of pet ownership 
to physical and mental health are extensive and well documented. Online 
social networks have the potential to strengthen these relationships and 
build community among pet owners. In this work, we present several results 
on the difference in behavior between dog and cat owners in pet-oriented 
social networks. We extend this analysis to divisions between urban and 
rural users. Our results show that there are significant differences among 
these groups. We propose a theory for future testing that more socially 
isolated the owners are from real-world communities of similar pet owners, 
the more active they are in forming social connections on these websites, 
and we offer initial evidence to support this. These results show that 
these pet social networks are already being used to help support the 
human-animal bond online, and that different types of pet owners would 
benefit from different types of support within the systems.},
         			 address = {New York, NY},
         			 author = {Golbeck, Jennifer},
         			 booktitle = {Proceedings of the 27th 
International Conference Extended Abstracts on Human Factors in Computing 
Systems},
         			 doi = 
{http://doi.acm.org/10.1145/1520340.1520689},
         			 file = {Golbeck - 2009 - On the Internet, 
Everybody Knows You're A Dog The Human-Pet Relationship in Online Social 
Networks.pdf:pdf},
         			 isbn = {978-1-60558-247-4},
         			 issn = {1559-1131},
         			 keywords = {online 
communities;pets;recommender systems;social networks;trust},
         			 language = {English},
         			 month = {sep},
         			 number = {4},
         			 pages = {4495--4500},
         			 publisher = {ACM},
         			 series = {CHI EA '09},
         			 title = {On the Internet, Everybody Knows 
You're A Dog: The Human-Pet Relationship in Online Social Networks},
         			 url = 
{http://doi.acm.org/10.1145/1520340.1520689 
http://doi.acm.org/10.1145/1594173.1594174},
         			 volume = {3},
         			 year = {2009}
      
		}
	
   
                     
Mixing It Up: Recommending Collections of Items

Derek L. Hansen and Jennifer Golbeck

In Proceedings of the 27th International Conference on Human Factors in Computing Systems, New York, NY, USA, 2009 (pp. 1217-1226). ACM.

                        
      
		@inproceedings {Hansen-2009-MUR-1518701.1518883,
         			 address = {New York, NY, USA},
         			 author = {Hansen, Derek L. and Golbeck, 
Jennifer},
         			 booktitle = {Proceedings of the 27th 
International Conference on Human Factors in Computing Systems},
         			 doi = 
{http://doi.acm.org/10.1145/1518701.1518883},
         			 file = {Hansen, Golbeck - 2009 - Mixing 
It Up Recommending Collections of Items.pdf:pdf},
         			 isbn = {978-1-60558-246-7},
         			 keywords = {automatic playlist 
generation;collaborative filtering;collection recommender 
systems;collections;mix tape;music;playlist;recommender systems},
         			 language = {English},
         			 pages = {1217--1226},
         			 publisher = {ACM},
         			 series = {CHI '09},
         			 title = {Mixing It Up: Recommending 
Collections of Items},
         			 url = 
{http://doi.acm.org/10.1145/1518701.1518883},
         			 year = {2009}
      
		}
	
   
                     
On the Internet, Everybody Knows You’re a Dog: The Human-Pet Relationship in Online Social Networks

Golbeck, Jennifer 

ACM Conference on Human Factors in Computing Systems Extended Abstracts, pages 4495-4500. April 2009, Boston, Massachusetts.

      
            @inproceedings{1520689,
abstract = {The benefits of pet ownership to physical and mental health are extensive and well documented. Online social networks have the potential to strengthen these relationships and build community among pet owners. In this work, we present several results on the difference in behavior between dog and cat owners in pet-oriented social networks. We extend this analysis to divisions between urban and rural users. Our results show that there are significant differences among these groups. We propose a theory for future testing that more socially isolated the owners are from real-world communities of similar pet owners, the more active they are in forming social connections on these websites, and we offer initial evidence to support this. These results show that these pet social networks are already being used to help support the human-animal bond online, and that different types of pet owners would benefit from different types of support within the systems.},
address = {New York, NY},
author = {Golbeck, Jennifer},
booktitle = {Proceedings of the 27th international conference extended abstracts on Human factors in computing systems},
doi = {http://doi.acm.org/10.1145/1520340.1520689},
file = {:Users/amrogers/Library/Application Support/Mendeley Desktop/Documents/2009/Golbeck/Golbeck - 2009 - Trust and Nuanced Profile Similarity in Online Social Networks.pdf:pdf},
isbn = {978-1-60558-247-4},
issn = {1559-1131},
keywords = {online communities,pets,recommender systems,social networks,trust},
language = {English},
month = sep,
number = {4},
pages = {4495--4500},
publisher = {ACM},
series = {CHI EA '09},
title = {{On the Internet, Everybody Knows You're A Dog: The Human-Pet Relationship in Online Social Networks}},
url = {http://doi.acm.org/10.1145/1520340.1520689 http://doi.acm.org/10.1145/1594173.1594174},
volume = {3},
year = {2009}
}
      
   
Multiple Personalities on the Web: A Study of Shared Mboxes in FOAF

Jennifer,Golbeck, Thameem Khan, Nilay Sanghavi and Nishita Thakker

Proceedings of the 2009 Workshop on Social Data on the Web, 12 pages. October 2009, Washington, DC.

            
            
      
Improving Recommendation Accuracy by Clustering Social Neworks with Trust

Thomas DuBois, Jennifer Golbeck, John Kleint, Aravind Srinivasan

Proceedings of the ACM RecSys 2009 Workshop on Recommender Systems and the Social Web, 8 pages. October 2009, New York, New York.

            
            
            
      
Language and Image: T3 = Text, Tags, and Trust

Judith L. Klavans, Susan Chun, Jennifer Golbeck, Dagobert Soergel, Robert Stein, Ed Bachta, Rebecca LaPlante, Kate Mayo, John Kleint

2009 Digital Humanities Conference. July 2009, College Park, Maryland.

            
            
      
Visualizing Archival Collections with ArchivesZ

Jennifer Golbeck ,Jeanne Kramer-Smyth

Proceedings of the 2009 Digital Humanities Conference, July 2009, College Park, Maryland.

            
            
      

2008

Semantic Web User Interactions: Exploring HCI Challenges

M. C. Schraefel, Jennifer Golbeck, Duane Degler, Abraham Bernstein, and Lloyd Rutledge

In CHI Extended Abstracts, Florence, Italy, 2008 (pp. 3929-3932). ACM.

                        
      
		@inproceedings {d1e195,
         			 abstract = {The purpose of this workshop 
is to engage interaction researchers and designers in the user interaction 
challenges posed by the Semantic Web. The workshop will be the fifth 
workshop in the SWUI series - it has previously been hosted at either the 
World Wide Web Conference or the International Semantic Web Conference. We 
have sufficient exemplars of both tools and approaches now that we can 
demonstrate the concepts of the space to participants and make it very 
clear why there are design/research challenges for the CHI community. We 
want to explore current and future CHI research that fits this problem 
space, and so invite participants exploring many interaction issues.},
         			 address = {Florence, Italy},
         			 author = {Schraefel, M. C. and Golbeck, 
Jennifer and Degler, Duane and Bernstein, Abraham and Rutledge, Lloyd},
         			 booktitle = {CHI Extended Abstracts},
         			 doi = 
{http://doi.acm.org/10.1145/1358628.1358959},
         			 file = {Schraefel et al. - 2008 - 
Semantic Web User Interactions Exploring HCI Challenges.pdf:pdf},
         			 isbn = {978-1-60558-012-8},
         			 keywords = {Context;Exploratory 
search;Faceted browsing;Semantic Web;Semantic desktop;Tagging;User 
interaction},
         			 language = {English},
         			 pages = {3929--3932},
         			 publisher = {ACM},
         			 series = {CHI EA '08},
         			 title = {Semantic Web User Interactions: 
Exploring HCI Challenges},
         			 url = 
{http://dl.acm.org/citation.cfm?doid=1358628.1358959},
         			 year = {2008}
      
		}
	
   
                     
Editorial: Introduction to the special issue on the Semantic Web Challenge 2006 and 2007

Jennifer Golbeck, Peter Mika, and Michael Uschold

Journal of Web Semantics, 6(4), 241-242.

                        
      
		@article {1464596,
         			 address = {Amsterdam, The Netherlands, 
The Netherlands},
         			 author = {Golbeck, Jennifer and Mika, 
Peter and Uschold, Michael},
         			 doi = {10.1016/j.websem.2008.09.001},
         			 file = {Golbeck, Mika, Uschold - 2008 - 
Editorial Introduction to the special issue on the Semantic Web Challenge 
2006 and 2007.pdf:pdf},
         			 issn = {1570-8268},
         			 journal = {Journal of Web Semantics},
         			 language = {English},
         			 month = {oct},
         			 number = {4},
         			 pages = {241--242},
         			 publisher = {Elsevier Science Publishers 
B. V.},
         			 title = {Editorial: Introduction to the 
special issue on the Semantic Web Challenge 2006 and 2007},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1464505.1464596},
         			 volume = {6},
         			 year = {2008}
      
		}
	
   
                     
Community Response Grid (CRG) for a University Campus: Design Requirements and Implications

Philip Wu, Yan Qu, Jennifer Preece, Kenneth R. Fleischmann, Jennifer Golbeck, Paul T. Jaeger, and Ben Shneiderman

In Proceedings of the 5th International Conference on Information Systems for Crisis Response and Management (ISCRM'08), Washington, DC, USA, 2008.

                        
      
		@inproceedings {d1e223,
         			 abstract = {This paper describes the 
initial stages of the participatory design of a community-oriented 
emergency response system for a university campus. After reviewing related 
work and the current University emergency response system, this paper 
describes our participatory design process, discusses initial findings 
from a design requirement survey and from our interactions with different 
stakeholders, and proposes a Web interface design for a community response 
grid system. The prototyping of the system demonstrates the possibility of 
fostering a social-network-based community participation in emergency 
response, and also identifies concerns raised by potential users and by 
the professional responder community.},
         			 address = {Washington, DC, USA},
         			 author = {Wu, Philip and Qu, Yan and 
Preece, Jennifer and Fleischmann, Kenneth R. and Golbeck, Jennifer and 
Jaeger, Paul T. and Shneiderman, Ben},
         			 booktitle = {Proceedings of the 5th 
International Conference on Information Systems for Crisis Response and 
Management (ISCRM'08)},
         			 file = {Wu et al. - 2008 - Community 
Response Grid (CRG) for a University Campus Design Requirements and 
Implications.pdf:pdf},
         			 keywords = {CRG;Emergency 
response;community response grid;participatory design;social network},
         			 language = {English},
         			 month = {may},
         			 title = {Community Response Grid (CRG) 
for a University Campus: Design Requirements and Implications},
         			 year = {2008}
      
		}
	
   
                     
The First Provenance Challenge

Luc Moreau, B. Ludascher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, Steven Callahan, and Chin Jr.

Concurrency and Computation: Practice and Experience, 20(5), 409-418.

                        
      
		@article {1350753,
         			 abstract = {The first Provenance 
Challenge was set up in order to provide a forum for the community to 
understand the capabilities of different provenance systems and the 
expressiveness of their provenance representations. To this end, a 
functional magnetic resonance imaging workflow was defined, which 
participants had to either simulate or run in order to produce some 
provenance representation, from which a set of identified queries had to 
be implemented and executed. Sixteen teams responded to the challenge, and 
submitted their inputs. In this paper, we present the challenge workflow 
and queries, and summarize the participants' contributions.},
         			 address = {Chichester, UK},
         			 author = {Moreau, Luc and Ludäscher, 
Bertram and Altintas, Ilkay and Barga, Roger S. and Bowers, Shawn and 
Callahan, Steven and Chin Jr.},
 George and Clifford, Ben and Cohen, Shirley and Cohen-Boulakia, Sarah and 
Davidson, Susan and Deelman, Ewa and Digiampietri, Luciano and Foster, Ian 
and Freire, Juliana and Frew, James and Futrelle, Joe and Gibson, Tara and 
Gil, Yolanda and Goble, Carole and Golbeck, Jennifer and Groth, Paul and 
Holland, David A. and Jiang, Sheng and Kim, Jihie and Koop, David and 
Krenek, Ales and McPhillips, Timothy and Mehta, Gaurang and Miles, Simon 
and Metzger, Dominic and Munroe, Steve and Myers, Jim and Plale, Beth and 
Podhorszki, Norbert and Ratnakar, Varun and Santos, Emanuele and 
Scheidegger, Carlos and Schuchardt, Karen and Seltzer, Margo and Simmhan, 
Yogesh L. and Silva, Claudio and Slaughter, Peter and Stephan, Eric and 
Stevens, Robert and Turi, Daniele and Vo, Huy and Wilde, Mike and Zhao, 
June and Zhao, Yong},
			 doi = {10.1002/cpe.v20:5},
         			 file = {Moreau et al. - 2008 - The First 
Provenance Challenge.pdf:pdf},
         			 issn = {1532-0626},
         			 journal = {Concurrency and Computation: 
Practice and Experience},
         			 keywords = 
{Provenance;capabilities;queries;recording;representation;storing},
         			 language = {English},
         			 month = {jan},
         			 number = {5},
         			 pages = {409--418},
         			 publisher = {John Wiley \& Sons, 
Ltd.},
         The First Provenance Challenge
         			 title = {The First Provenance Challenge},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1350753},
         			 volume = {20},
         			 year = {2008}
      
		}
	
   
                     
Weaving a Web of Trust Morphogenesis

Golbeck, Jennifer 

Information Systems, 321(September), 1640.

                        
      
		@article {Golbeck2008a,
         			 annote = {Davidson, Lance A was listed as 
an author, but is not credited in the article itself, so I removed him. If 
this is an error, please fix it and spread the credit-love. :-)},
         			 author = {Golbeck, Jennifer},
         			 file = {Golbeck - 2008 - Weaving a Web of 
Trust Morphogenesis.pdf:pdf},
         			 journal = {Information Systems},
         			 language = {English},
         			 number = {September},
         			 pages = {1640},
         			 publisher = {AAAS},
         			 title = {Weaving a Web of Trust 
Morphogenesis},
         			 volume = {321},
         			 year = {2008}
      
		}
	
   
                     
Trust-Based Revision for Expressive Web Syndication

Jennifer Golbeck and Christian Halaschek-Wiener

Journal of Logic and Computation.

                        
      
		@article {d1e289,
         			 author = {Golbeck, Jennifer and 
Halaschek-Wiener, Christian},
         			 file = {Golbeck, Halaschek-Wiener - 2008 
- Trust-Based Revision for Expressive Web Syndication.pdf:pdf},
         			 journal = {Journal of Logic and 
Computation},
         			 language = {English},
         			 title = {Trust-Based Revision for 
Expressive Web Syndication},
         			 year = {2008}
      
		}
	
   
                     
The Ripple Effect: Change in Trust and Its Impact Over a Social Network

Jennifer Golbeck and Ugur Kuter (2008). 7. In Golbeck, Jennifer (Ed.)

Springer-Verlag London Limited.

                        
      
		@inbook {d1e261,
         			 abstract = {Computing trust between 
individuals in social networks is important for many intelligent systems 
that take advantage of reasoning in social situations. There have been 
many algorithms developed for inferring trust relationships in a variety 
of ways. These algorithms all work on a snapshot of the network; that is, 
they do not take into account changes in trust values over time. However, 
trust between people is always changing in realistic social networks and 
when changes happen, inferred trust values in the network will also 
change. Under these circumstances, the behavior the existing 
trust-inference algorithms is not yet very well understood. In this paper, 
we present an experimental study of several types of trust inference 
algorithms to answer the following questions on trust and change: • How 
far does a single change propagate through the network? • How large is 
the impact of that change? • How does this relate to the type of 
inference algorithm? Our experimental results provide insights into which 
algorithms are most suitable for certain applications.},
         			 author = {Golbeck, Jennifer and Kuter, 
Ugur},
         			 booktitle = {Computing with Social 
Trust},
         			 chapter = {7},
         			 doi = {10.1007/978-1-84800-356-9 7},
         			 editor = {Golbeck, Jennifer},
         			 file = {Golbeck, Kuter - 2008 - The 
Ripple Effect Change in Trust and Its Impact Over a Social 
Network.pdf:pdf},
         			 language = {English},
         			 pages = {169--181},
         			 publisher = {Springer-Verlag London 
Limited},
         			 title = {The Ripple Effect: Change in 
Trust and Its Impact Over a Social Network},
         			 year = {2008}
      
		}
	
   
                     
Metcalfe's Law, Web 2.0, and the Semantic Web

Jennifer Golbeck and James Hendler

Journal of Web Semantics, 6(1), 14-20.

                        
      
		@article {d1e155,
         			 abstract = {The power of the Web is 
enhanced through the network effect produced as resources link to each 
other with the value determined by Metcalfe's law. In Web 2.0 
applications, much of that effect is delivered through social linkages 
realized via social networks online. Unfortunately, the associated 
semantics for Web 2.0 applications, delivered through tagging, is 
generally minimally hierarchical and sparsely linked. The Semantic Web 
suffers from the opposite problem. Semantic information, delivered through 
ontologies of varying amounts of expressivity, is linked to other terms 
(within or between resources) creating a link space in the semantic realm. 
However, the use of the Semantic Web has yet to fully realize the social 
schemes that provide the network of users. In this article, we discuss 
putting these together, with linked semantics coupled to linked social 
networks, to deliver a much greater effect.},
         			 address = {Chichester, UK},
         			 author = {Golbeck, Jennifer and Hendler, 
James},
         			 doi = 
{http://dx.doi.org/10.1002/cpe.v20:5},
         			 file = {Golbeck, Hendler - 2008 - 
Metcalfe's Law, Web 2.0, and the Semantic Web.pdf:pdf},
         			 issn = {1570-8268},
         			 journal = {Journal of Web Semantics},
         			 keywords = {Semantic Web;provenance},
         			 language = {English},
         			 month = {apr},
         			 number = {1},
         			 pages = {14--20},
         			 publisher = {John Wiley and Sons Ltd.},
         			 title = {Metcalfe's Law, Web 2.0, and the 
Semantic Web},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1350745.1350758},
         			 volume = {6},
         			 year = {2008}
      
		}
	
   
                     
Linking Social Networks on the Web with FOAF: A Semantic Web Case Study

Jennifer Golbeck and Matthew Rothstein

In Proceedings of the 23rd Conference on Artificial Intelligence (AAAI'08) (pp. 1138-1143). AAAI Press.

                        
      
		@inproceedings {1620249,
         			 abstract = {One of the core goals of the 
Semantic Web is to store data in distributed locations, and use ontologies 
and reasoning to aggregate it. Social networking is a large movement on 
the web, and social networking data using the Friend of a Friend (FOAF) 
vocabulary makes up a significant portion of all data on the Semantic Web. 
Many traditional web-based social networks share their members' 
information in FOAF format. While this is by far the largest source of 
FOAF online, there is no information about whether the social network 
models from each network overlap to create a larger unified social 
network, or whether they are simply isolated components. If there are 
intersections, it is evidence that Semantic Web representations and 
technologies are being used to create interesting, useful data models. In 
this paper, we present a study of the intersection of FOAF data found in 
many online social networks. Using the semantics of the FOAF ontology and 
applying Semantic Web reasoning techniques, we show that a significant 
percentage of profiles can be merged from multiple networks. We present 
results on how this affects network structure and what it says about the 
success of the Semantic Web.},
         			 author = {Golbeck, Jennifer and 
Rothstein, Matthew},
         			 booktitle = {Proceedings of the 23rd 
Conference on Artificial Intelligence (AAAI'08)},
         			 file = {Golbeck, Rothstein - 2008 - 
Linking Social Networks on the Web with FOAF A Semantic Web Case 
Study.pdf:pdf},
         			 isbn = {978-1-57735-368-3},
         			 language = {English},
         			 month = {jul},
         			 pages = {1138--1143},
         			 publisher = {AAAI Press},
         			 title = {Linking Social Networks on the 
Web with FOAF: A Semantic Web Case Study},
         			 volume = {2},
         			 year = {2008}
      
		}
	
   
                     
A Semantic Web Approach to the Provenance Challenge

Jennifer Golbeck and James Hendler

Concurrency and Computation: Practice & Experience - The First Provenance Challenge, 20(5), 431-439.

                        
      
		@article {1350758,
         			 abstract = {Provenance is critically 
important for scientific workflow systems, as it allows users to verify 
data, repeat experiments, and discover dependencies. The Semantic Web is a 
natural fit for representing provenance, as it contains explicit support 
for representing and inferring connections between data and processes, as 
well as for adding annotations to data. In this article, we present a 
Semantic Web approach to the Provenance Challenge (Concurrency Computat.: 
Pract. Exper. 2007; DOI: 10.1002-cpe.1233). We use web services, 
ontologies, OWL reasoners, triple stores, and the SPARQL query language to 
implement the workflow, represent the data and the connections within it, 
and execute queries. We successfully implemented and answered all of the 
challenge queries. The flexibility of the Semantic Web also makes it quite 
easy to convert different provenance systems' data representation to a 
form we can work with. We illustrate this by integrating data from the 
PASS approach into our system, and successfully executing all of the 
challenge queries on it as well.},
         			 address = {Chichester, UK},
         			 author = {Golbeck, Jennifer and Hendler, 
James},
         			 doi = {10.1002/cpe.v20:5},
         			 file = {Golbeck, Hendler - 2008 - A 
Semantic Web Approach to the Provenance Challenge.pdf:pdf},
         			 issn = {1532-0626},
         			 journal = {Concurrency and Computation: 
Practice \& Experience - The First Provenance Challenge},
         			 keywords = {Semantic Web;provenance},
         			 language = {English},
         			 month = {apr},
         			 number = {5},
         			 pages = {431--439},
         			 publisher = {John Wiley \& Sons 
Ltd.},
         			 title = {A Semantic Web Approach to the 
Provenance Challenge},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1350745.1350758},
         			 volume = {20},
         			 year = {2008}
      
		}
	
   
                     
Cultural Modeling in a Game-Theoretic Framework

Praveen Paruchuri, Preetam Maloor, Bob Pokorny, Aaron Mannes, Jennifer Golbeck

AAAI Fall Symposium on Adaptive Agents in Cultural Contexts. November 2008, Washington, DC.

            
            
      
Designing a Community-Based Emergency Communication System: Requirements and Implications

Wu, P. F., Qu, Y., Fleischmann, K., Golbeck, J., Jaeger, P., Preece, J., & Shneiderman, B

Annual Meeting of the American Society for Information Science and Technology (ASIS&T 2008). October 2008, Columbus, OH.

            
            
      

2007

Ontology Building: A Terrorism Specialist's Perspective

Aaron Mannes and Jennifer Golbeck

In Proceedings of the IEEE Aerospace Conference, Big Sky, Montana, USA, 2007.

                        
      
		@inproceedings {d1e440,
         			 abstract = {For the semantic Web to 
fulfill its potential, it needs to be usable by the average user. Until 
this occurs, the semantic Web will remain the province of programmers and 
computer scientists. Ontologies, which define concepts for the computer, 
give the semantic Web its potential power. However, until non-computer 
science specialists are able to construct useful ontologies, the semantic 
Web will not fulfill its potential. This paper discusses a non-computer 
scientist's efforts to construct an ontology for a terrorism analysis 
Semantic Web portal (profilesinterror.mindswap.org). The paper will 
address both general challenges in conceptualizing an ontology and 
specific techniques useful for ontology construction. Some of the concepts 
will be useful for ontology writing in general, other will be unique to 
defining terrorism.},
         			 address = {Big Sky, Montana, USA},
         			 author = {Mannes, Aaron and Golbeck, 
Jennifer},
         			 booktitle = {Proceedings of the IEEE 
Aerospace Conference},
         			 doi = {10.1109/AERO.2007.352794},
         			 file = {Mannes, Golbeck - 2007 - Ontology 
Building A Terrorism Specialist's Perspective.pdf:pdf},
         			 isbn = {1-4244-0525-4},
         			 issn = {1095-323X},
         			 keywords = {Educational 
institutions;Explosives;Forensics;Ontologies;Portals;Programming 
profession;Semantic Web;Terrorism;Weapons;Writing},
         			 language = {English},
         			 month = {mar},
         			 title = {Ontology Building: A Terrorism 
Specialist's Perspective},
         			 url = 
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4161607},
         			 year = {2007}
      
		}
	
   
                     
Building a Semantic Web Portal for Counterterror Analysis

Aaron Mannes and Jennifer Golbeck 

In Proceedings of the IEEE Aerospace Conference, Big Sky, Montana, USA, 2007 (pp. 1-5). IEEE.

                        
      
		@inproceedings {Mannes2007a,
         			 abstract = {With the rise of the netwar 
paradigm new tools are needed to support intelligence collection and 
analysis. The Semantic Web uses information online in which data is 
defined in machine-readable terms, allows for the creation of flexible, 
adaptable knowledge bases that can be used collaboratively. This paper 
discusses how the Semantic Web facilitates research on terrorist 
organizations, particularly how a variety of useful features - such as 
network visualization and data attribution - can be used.},
         			 address = {Big Sky, Montana, USA},
         			 author = {Mannes, Aaron and Golbeck, 
Jennifer},
         			 booktitle = {Proceedings of the IEEE 
Aerospace Conference},
         			 doi = {10.1109/AERO.2007.352795},
         			 file = {Mannes, Golbeck - 2007 - Building 
a Semantic Web Portal for Counterterror Analysis.pdf:pdf},
         			 isbn = {1-4244-0525-4},
         			 issn = {1095-323X},
         			 keywords = {Collaborative tools;Counting 
circuits;Data visualization;Databases;Educational institutions;Information 
analysis;Machine intelligence;Online Communities/Technical 
Collaboration;Portals;Semantic Web},
         			 language = {English},
         			 month = {mar},
         			 pages = {1 -- 5},
         			 publisher = {IEEE},
         			 title = {Building a Semantic Web Portal 
for Counterterror Analysis},
         			 url = 
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4161608\&tag=1},
         			 year = {2007}
      
		}
	
   
                     
Investigating Correlations of Trust and Interest Similarity

Cai-Nicolas Ziegler and Jennifer Golbeck

Decision Support Systems, 43(2), 460-475.

                        
      
		@article {1225706,
         			 abstract = {Online communities that allow 
their users to express their personal preferences, such as the members 
they trust and the products they appreciate, are becoming increasingly 
popular. Exploiting these communities as playgrounds for sociological 
research we present two frameworks for analyzing the correlation between 
interpersonal trust and interest similarity. We obtain empirical results 
from applying the two frameworks on two real, operational communities, 
that suggest there is a strong correlation between both trust and interest 
similarity. We believe our findings particularly relevant for ongoing 
research in recommender systems and collaborative filtering, where people 
are suggested products based on their similarity with other customers, and 
propose ways in which trust models can be integrated into these systems.},
         			 address = {Amsterdam, The Netherlands, 
The Netherlands},
         			 author = {Ziegler, Cai-Nicolas and 
Golbeck, Jennifer},
         			 doi = {10.1016/j.dss.2006.11.003},
         			 file = {Ziegler, Golbeck - 2007 - 
Investigating Correlations of Trust and Interest Similarity.pdf:pdf},
         			 issn = {0167-9236},
         			 journal = {Decision Support Systems},
         			 keywords = {Collaborative 
filtering;Distributed systems;Similarity;Trust;e-commerce},
         			 language = {English},
         			 month = {mar},
         			 number = {2},
         			 pages = {460--475},
         			 publisher = {Elsevier Science Publishers 
B. V.},
         			 title = {Investigating Correlations of 
Trust and Interest Similarity},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1225318.1225706},
         			 volume = {43},
         			 year = {2007}
      
		}
	
   
                     
Using Social Network-based Trust For Default Reasoning On The Web

Yarden Katz and Jennifer Golbeck

Journal of Web Semantics.

                        
      
		@article {d1e324,
         			 abstract = {A drawback of traditional 
default logic is that there is no general mechanism for preferring one 
default rule over another. To remedy this problem, numerous default logics 
augmented with priority relations have been introduced. In this paper, we 
show how trust values, derived from web-based social networks, can be used 
to prioritize defaults. We provide a coupling between the method for 
computing trust values in social networks and the prioritized Reiter 
defaults of (1), where specificity of terminological concepts is used to 
prioritize defaults. We compare our approach with specificity-based 
prioritization, and discuss how the two can be combined. Finally, we show 
how our approach can be applied to other variants of prioritized default 
logic.},
         			 author = {Katz, Yarden and Golbeck, 
Jennifer},
         			 doi = {10.1.1.90.636},
         			 file = {Katz, Golbeck - 2007 - Using 
Social Network-based Trust For Default Reasoning On The Web.pdf:pdf},
         			 journal = {Journal of Web Semantics},
         			 keywords = {Nonmonotonic reasoning;Social 
networks;Trust-based systems},
         			 language = {English},
         			 title = {Using Social Network-based Trust 
For Default Reasoning On The Web},
         			 url = 
{http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.636},
         			 year = {2007}
      
		}
	
   
                     
The Dynamics of Web-based Social Networks: Membership, Relationships, and Change

Golbeck, Jennifer

First Monday, 12(11), 12:1-12:33.

                        
      
		@article {d1e343,
         			 abstract = {Social networks on the web 
are growing dramatically in size and number. The huge popularity of sites 
like MySpace, Facebook, and others has drawn in hundreds of millions of 
users, and the attention of scientists and the media. The public 
accessibility of web-based social networks offers great promise for 
researchers interested in studying the behavior of users and how to 
integrate social information into applications. However, to do that 
effectively, it is necessary to understand how networks grow and change. 
Over a two-year period we have collected data on every social network we 
could identify, and we also gathered daily information on thirteen 
networks over a forty-seven day period. In this article, we present the 
first comprehensive survey of web-based social networks, followed by an 
analysis of membership and relationship dynamics within them. From our 
analysis of these data, we present several conclusions on how users behave 
in social networks, and what network features correlate with that 
behavior.},
         			 address = {New York, NY, USA},
         			 author = {Golbeck, Jennifer},
         			 doi = 
{http://doi.acm.org/10.1145/1520340.1520689},
         			 file = {Golbeck - 2007 - The Dynamics of 
Web-based Social Networks Membership, Relationships, and Change.pdf:pdf},
         			 isbn = {978-1-60558-247-4},
         			 issn = {1559-1131},
         			 journal = {First Monday},
         			 keywords = {online 
communities;pets;recommender systems;social networks;trust},
         			 language = {English},
         			 month = {sep},
         			 number = {11},
         			 pages = {12:1 -- 12:33},
         			 publisher = {ACM},
         			 series = {CHI EA '09},
         			 title = {The Dynamics of Web-based Social 
Networks: Membership, Relationships, and Change},
         			 url = 
{http://doi.acm.org/10.1145/1594173.1594174 
http://doi.acm.org/10.1145/1520340.1520689},
         			 volume = {12},
         			 year = {2007}
      
		}
	
   
                     
SUNNY: A New Algorithm for Trust Inference in Social Networks, using Probabilistic Confidence Models

Ugur Kuter and Jennifer Golbeck

In Proceedings of the 22nd National Conference on Artificial Intelligence (AAAI-07), Vancouver, British Columbia, Canada, 2007 (pp. 1377-1382). AAAI Press.

                        
      
		@inproceedings {d1e365,
         			 abstract = {In many computing systems, 
information is produced and processed by many people. Knowing how much a 
user trusts a source can be very useful for aggregating, filtering, and 
ordering of information. Furthermore, if trust is used to support decision 
making, it is important to have an accurate estimate of trust when it is 
not directly available, as well as a measure of confidence in that 
estimate. This paper describes a new approach that gives an explicit 
probabilistic interpretation for confidence in social networks. We 
describe SUNNY, a new trust inference algorithm that uses a probabilistic 
sampling technique to estimate our confidence in the trust information 
from some designated sources. SUNNY computes an estimate of trust based on 
only those information sources with high confidence estimates. In our 
experiments, SUNNY produced more accurate trust estimates than the well 
known trust inference algorithm TIDALTRUST (Golbeck 2005), demonstrating 
its effectiveness.},
         			 address = {Vancouver, British Columbia, 
Canada},
         			 author = {Kuter, Ugur and Golbeck, 
Jennifer},
         			 booktitle = {Proceedings of the 22nd 
National Conference on Artificial Intelligence (AAAI-07)},
         			 file = {Kuter, Golbeck - 2007 - SUNNY A 
New Algorithm for Trust Inference in Social Networks, using Probabilistic 
Confidence Models.pdf:pdf},
         			 isbn = {978-1-57735-323-2},
         			 language = {English},
         			 month = {jul},
         			 pages = {1377--1382},
         			 publisher = {AAAI Press},
         			 title = {SUNNY: A New Algorithm for Trust 
Inference in Social Networks, using Probabilistic Confidence Models},
         			 url = 
{http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.1700 
http://dl.acm.org/citation.cfm?id=1619866},
         			 volume = {2},
         			 year = {2007}
      
		}
	
   
                     
The Semantic Web - 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference

 

Busan:Springer.

                        
      
		@book {d1e39,
         			 address = {Busan},
         			 editor = {Aberer, Karl and Choi, Key-Sun 
and Noy, Natasha and Allemang, Dean and Lee, Kyung-Il and Nixon, Lyndon 
and Golbeck, Jennifer and Mika, Peter and Maynard, Diana and Mizoguchi, 
Riichiro and Schreiber, Guus and Cudr\'ee-Mauroux, Philippe},
         			 file = {Unknown - 2007 - The Semantic Web 
- 6th International Semantic Web Conference, 2nd Asian Semantic Web 
Conference.pdf:pdf},
         			 isbn = {978-3-540-76297-3},
         			 issn = {0302-9743},
         			 keywords = {OWL;Web 
services;XML;case-based reasoning;conceptual modeling;context-free 
grammars;data engineering;data semantics;debugging;e-science;information 
engineering systems;information retrieval;knowledge 
management;ontologies;ontology mapping;ontology population;ontology-based 
information integration;positive-only learning;relation 
extraction;semantic Web;semantic Web agents;semantic Web 
languages;semantic Web privacy;semantic Web querying;semantic Web 
services;semantic indexing;semantic multimedia},
         			 language = {English},
         			 month = {nov},
         			 publisher = {Springer},
         			 series = {Lecture Notes in Computer 
Science},
         			 title = {The Semantic Web - 6th 
International Semantic Web Conference, 2nd Asian Semantic Web Conference},
         			 url = 
{http://www.springer.com/computer/database+management+\&+information+retrieval/book/978-3-540-76297-3},
         			 volume = {4825},
         			 year = {2007}
      
		}
	
   
                     
Classifying Computer Generated Charts

V. Prasad, Behjat Siddiquie, Jennifer Golbeck, and Larry Davis

In Proceedings of the Workshop on Content Based Multimedia Indexing (pp. 85–92). IEEE.

                        
      
		@inproceedings {d1e391,
         			 abstract = {We present an approach for 
classifying images of charts based on the shape and spatial relationships 
of their primitives. Five categories are considered: bar-charts, 
curve-plots, pie-charts, scatter-plots and surface-plots. We introduce two 
novel features to represent the structural information based on (a) region 
segmentation and (b) curve saliency. The local shape is characterized 
using the Histograms of Oriented Gradients (HOG) and the Scale Invariant 
Feature Transform (SIFT) descriptors. Each image is represented by sets of 
feature vectors of each modality. The similarity between two images is 
measured by the overlap in the distribution of the features -measured 
using the Pyramid Match algorithm. A test image is classified based on its 
similarity with training images from the categories. The approach is 
tested with a database of images collected from the Internet. © 2007 
IEEE.},
         			 author = {Prasad, V. and Siddiquie, 
Behjat and Golbeck, Jennifer and Davis, Larry},
         			 booktitle = {Proceedings of the Workshop 
on Content Based Multimedia Indexing},
         			 doi = {10.1109/CBMI.2007.385396},
         			 file = {Prasad et al. - 2007 - 
Classifying Computer Generated Charts.pdf:pdf},
         			 isbn = {1-4244-1011-8},
         			 language = {English},
         			 pages = {85--92},
         			 publisher = {IEEE},
         			 title = {Classifying Computer Generated 
Charts},
         			 url = 
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4275059},
         			 year = {2007}
      
		}
	
   
                     
SocialBrowsing: Integrating Social Networks into Web Browsing

Jennifer Golbeck and Michael M. Wasser

In Extended Abstracts on Human Factors in Computing Systems (CHI '07), San Jose, California, USA, 2007 (pp.2381–2386). ACM.

                        
      
		@inproceedings {1241011,
         			 abstract = {In this paper we introduce 
SocialBrowsing, a Firefox extension that adds social context to the web 
browsing experience. The extension is paired with services provided by 
social networking websites, analyzes the page's contents, and adds 
tooltips and highlighting to indicate when there is relevant social 
information. We present an overview of the tool and implementation, and 
outline future steps for analysis.},
         			 address = {San Jose, California, USA},
         			 author = {Golbeck, Jennifer and Wasser, 
Michael M.},
         			 booktitle = {Extended Abstracts on Human 
Factors in Computing Systems (CHI '07)},
         			 doi = {10.1145/1240866.1241011},
         			 file = {Golbeck, Wasser - 2007 - 
SocialBrowsing Integrating Social Networks into Web Browsing.pdf:pdf},
         			 isbn = {978-1-59593-642-4},
         			 keywords = {social networks;user 
support;web browsing},
         			 language = {English},
         			 month = {apr},
         			 pages = {2381--2386},
         			 publisher = {ACM},
         			 title = {SocialBrowsing: Integrating 
Social Networks into Web Browsing},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1240866.1241011},
         			 year = {2007}
      
		}
	
   
                     

2006

Image Browsing and Natural Language Paraphrases of Semantic Web Annotations

Christian Halaschek-Wiener, Jennifer Golbeck, Bijan Parsia, Vladimir Kolovski, and James Hendler

In Proceedings of the 1st International Workshop on Semantic Web Annotations for Multimedia (SWAMM), College Park, Maryland, 2006. Dept. Of Computer Science, University of Maryland, College Park.

                        
      
		@inproceedings {d1e740,
         			 abstract = {Recently, there has been 
interest in marking up digital images with annotations describing the 
content of the images using Web based ontologies encoded in the W3C’s 
Web Ontology Language, OWL. The annotations are subsequently exploited to 
improve the user experience of large collections of images, whether by 
enhance search or by a structured browsing experience. In the latter case, 
the complexity and unfamiliarity of logic-based ontology languages may do 
more to impede, than aid, the user. To alleviate this problem, we propose 
using automatic generation of natural language (NL) paraphrases of OWL 
statements to assist browsing image content. In this paper, we provide an 
overview of our NL generation approach and an empirical evaluation of the 
use of our paraphrases for image browsing.},
         			 address = {College Park, Maryland},
         			 author = {Halaschek-Wiener, Christian and 
Golbeck, Jennifer and Parsia, Bijan and Kolovski, Vladimir and Hendler, 
James},
         			 booktitle = {Proceedings of the 1st 
International Workshop on Semantic Web Annotations for Multimedia 
(SWAMM)},
         			 file = {Halaschek-Wiener et al. - 2006 - 
Image Browsing and Natural Language Paraphrases of Semantic Web 
Annotations.pdf:pdf},
         			 keywords = {*IMAGE 
BROWSING;*IMAGES;*INTERNET BROWSERS;*METADATA;*NATURAL 
LANGUAGE;*PARAPHRASING;*SEMANTICS;*SOFTWARE 
TOOLS;*TRANSLATIONS;ALGORITHMS;AUTOMATION;BROWSING 
TOOLS;CLASSIFICATION;COMPUTER PROGRAMMING AND SOFTWARE;COMPUTER 
SYSTEMS;DIGITAL IMAGES;IMAGE ANNOTATIONS;INFORMATION SCIENCE;KNOWLEDGE 
MANAGEMENT;MARKUP LANGUAGES;ONTOLOGY;OWL(WEB ONTOLOGY LANGUAGE);PARSE 
TREES;PART-OF-SPEECH TAGGER;PHOTOGRAPHS;PHOTOSTUFF COMPUTER 
PROGRAM;PICTURES;SEMANTIC ANNOTATIONS;SEMANTIC MARKUP;TEST AND 
EVALUATION;TEXT PROCESSING;USER NEEDS;WEB-BASED ONTOLOGIES},
         			 language = {English},
         			 organization = {University of Maryland, 
College Park},
         			 publisher = {Dept. Of Computer Science, 
University of Maryland, College Park},
         			 title = {Image Browsing and Natural 
Language Paraphrases of Semantic Web Annotations},
         			 url = 
{http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.7724 
http://www.mendeley.com/research/image-browsing-natural-language-paraphrases-semantic-web-annotations-19?utm_source=desktop\&utm_medium=1.0.1\&utm_campaign=open_catalog\&userDocumentId=f3e2212e-9da0-48d3-aae6-fbc4812530bb},
         			 year = {2006}
      
		}
	
   
                     
Combining Provenance with Trust in Social Networks for Semantic Web Content Filtering

Golbeck, Jennifer

In Proceedings of the International Provenance and Annotation Workshop, Chicago, Illinois, USA, 2006 (pp.101-108). Springer Berlin / Heidelberg.

                        
      
		@inproceedings {d1e658,
         			 abstract = {Social networks are a popular 
movement on the web. On the Semantic Web, it is simple to make trust 
annotations to social relationships. In this paper, we present a two level 
approach to integrating trust, provenance, and annotations in Semantic Web 
systems. We describe an algorithm for inferring trust relationships using 
provenance information and trust annotations in Semantic Web-based social 
networks. Then, we present an application, FilmTrust, that combines the 
computed trust values with the provenance of other annotations to 
personalize the website. The FilmTrust system uses trust to compute 
personalized recommended movie ratings and to order reviews. We believe 
that the results obtained with FilmTrust illustrate the success that can 
be achieved using this method of combining trust and provenance on the 
Semantic Web.},
         			 address = {Chicago, Illinois, USA},
         			 author = {Golbeck, Jennifer},
         			 booktitle = {Proceedings of the 
International Provenance and Annotation Workshop},
         			 doi = {10.1007/11890850_12},
         			 file = {Golbeck - 2006 - Combining 
Provenance with Trust in Social Networks for Semantic Web Content 
Filtering.pdf:pdf},
         			 isbn = {978-3-540-46302-3},
         			 issn = {1611-3349},
         			 language = {English},
         			 month = {may},
         			 pages = {101--108},
         			 publisher = {Springer Berlin / 
Heidelberg},
         			 series = {Lecture Notes in Computer 
Science},
         			 title = {Combining Provenance with Trust 
in Social Networks for Semantic Web Content Filtering},
         			 url = 
{http://www.mendeley.com/research/combining-provenance-trust-social-networks-semantic-web-content-filtering-1?utm_source=desktop\&utm_medium=1.0.1\&utm_campaign=open_catalog\&userDocumentId=a622c3b4-446c-4378-8013-78293df87c10},
         			 volume = {4145},
         			 year = {2006}
      
		}
	
   
                     
Nonmonotonic Reasoning With Web-Based Social Networks

Yarden Katz and Jennifer Golbeck

In Reasoning on the Web Workshop, World Wide Web Conference, College Park, Maryland, 2006.

                        
      
		@inproceedings {d1e791,
         			 abstract = {A drawback of traditional 
default logic is that there is no general mechanism for preferring one 
default rule over another. To remedy this problem, numerous default logics 
augmented with priority relations have been introduced. In this paper, we 
show how trust values, derived from web-based social networks, can be used 
to prioritize defaults. We provide a coupling between the method for 
computing trust values in social networks given in [4] and the prioritized 
Reiter defaults of [1], where specificity of terminological concepts is 
used to prioritize defaults. We compare our approach with 
specificity-based prioritization, and discuss how the two can be combined. 
Finally, we show how our approach can be applied to other variants of 
prioritized default logic.},
         			 address = {College Park, Maryland},
         			 author = {Katz, Yarden and Golbeck, 
Jennifer},
         			 booktitle = {Reasoning on the Web 
Workshop, World Wide Web Conference},
         			 file = {Katz, Golbeck - 2006 - 
Nonmonotonic Reasoning With Web-Based Social Networks.pdf:pdf},
         			 keywords = {Default logic;Knowledge 
Representation;Nonmonotonic Reasoning;Recommender sys- tems;Social 
Networks;Trust},
         			 language = {English},
         			 month = {may},
         			 title = {Nonmonotonic Reasoning With 
Web-Based Social Networks},
         			 volume = {1},
         			 year = {2006}
      
		}
	
   
                     
Social Network-based Trust in Prioritized Default Logic

Yarden Katz and Jennifer Golbeck

In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI-06), Boston, Massachusetts, USA, 2006 (pp. 1345-1350). AAAI Press.

                        
      
		@inproceedings {1597402,
         			 abstract = {A drawback of traditional 
default logic is that there is no general mechanism for preferring one 
default rule over another. To remedy this problem, numerous default logics 
augmented with priority relations have been introduced. In this paper, we 
show how trust values, derived from web-based social networks, can be used 
to prioritize defaults. We provide a coupling between the method for 
computing trust values in social networks and the prioritized Reiter 
defaults of (Baader \& Hollunder 1995), where specificity of 
terminological concepts is used to prioritize defaults. We compare our 
approach with specificity-based prioritization, and discuss how the two 
can be combined. Finally, we show how our approach can be applied to other 
variants of prioritized default logic.},
         			 address = {Boston, Massachusetts, USA},
         			 author = {Katz, Yarden and Golbeck, 
Jennifer},
         			 booktitle = {Proceedings of the 21st 
National Conference on Artificial Intelligence (AAAI-06)},
         			 doi = {10.1.1.90.636},
         			 file = {Katz, Golbeck - 2006 - Social 
Network-based Trust in Prioritized Default Logic.pdf:pdf},
         			 isbn = {978-1-57735-281-5},
         			 keywords = {Nonmonotonic reasoning;Social 
networks;Trust-based systems},
         			 language = {English},
         			 month = {jul},
         			 number = {2},
         			 pages = {1345--1350},
         			 publisher = {AAAI Press},
         			 title = {Social Network-based Trust in 
Prioritized Default Logic},
         			 url = 
{http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.636 
http://www.mendeley.com/research/social-networkbased-trust-in-prioritized-default-logic?utm_source=desktop\&utm_medium=1.0.1\&utm_campaign=open_catalog\&userDocumentId=e7cc14ff-83bd-45f7-97d4-011a9ffd6e52 
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.8328},
         			 volume = {21},
         			 year = {2006}
      
		}
	
   
                     
FilmTrust: Movie Recommendations Using Trust in Web-based Social Networks

Jennifer Golbeck and James Hendler

ACM Transactions on Internet Technology, 6(4), 497-529.

                        
      
		@article {d1e939,
         			 abstract = {The growth of Web-based 
social networking and the properties of those networks have created great 
potential for producing intelligent software that integrates a user's 
social network and preferences. Our research looks particularly at 
assigning trust in Web-based social networks and investigates how trust 
information can be mined and integrated into applications. This article 
introduces a definition of trust suitable for use in Web-based social 
networks with a discussion of the properties that will influence its use 
in computation. We then present two algorithms for inferring trust 
relationships between individuals that are not directly connected in the 
network. Both algorithms are shown theoretically and through simulation to 
produce calculated trust values that are highly accurate.. We then present 
TrustMail, a prototype email client that uses variations on these 
algorithms to score email messages in the user's inbox based on the user's 
participation and ratings in a trust network.},
         			 address = {New York, NY, USA},
         			 author = {Golbeck, Jennifer and Hendler, 
James},
         			 doi = 
{http://doi.acm.org/10.1145/1183463.1183470},
         			 file = {Golbeck, Hendler - 2006 - 
FilmTrust Movie Recommendations Using Trust in Web-based Social 
Networks.pdf:pdf},
         			 issn = {1533-5399},
         			 journal = {ACM Transactions on Internet 
Technology},
         			 keywords = {Social networks;online 
communities;semantic Web;small worlds;trust},
         			 language = {English},
         			 month = {jan},
         			 number = {4},
         			 pages = {497--529},
         			 publisher = {ACM},
         			 title = {FilmTrust: Movie Recommendations 
Using Trust in Web-based Social Networks},
         			 url = 
{http://doi.acm.org/10.1145/1183463.1183470},
         			 volume = {6},
         			 year = {2006}
      
		}
	
   
                     
Semantic Web and Target-Centric Intelligence: Building Flexible Systems that Foster Collaboration

Aaron Mannes, Jennifer Golbeck, and James Hendler

In Proceedings of Workshop Intelligent User Interfaces for Intelligence Analysis at the Intelligent User Interfaces Conference, Sydney, Australia, 2006.

                        
      
		@inproceedings {d1e915,
         			 abstract = {With the rise of the netwar 
paradigm new tools are needed to support intelligence collection and 
analysis. The Semantic Web uses information online in which data is 
defined in machine-readable terms, allows for the creation of flexible, 
adaptable knowledge bases that can be used collaboratively. This paper 
discusses how the Semantic Web facilitates research on terrorist 
organizations, particularly how a variety of useful features -- such as 
network visualization and data attribution -- can be used.},
         			 address = {Sydney, Australia},
         			 author = {Mannes, Aaron and Golbeck, 
Jennifer and Hendler, James},
         			 booktitle = {Proceedings of Workshop 
Intelligent User Interfaces for Intelligence Analysis at the Intelligent 
User Interfaces Conference},
         			 doi = {10.1.1.80.8050},
         			 file = {Mannes, Golbeck, Hendler - 2006 - 
Semantic Web and Target-Centric Intelligence Building Flexible Systems 
that Foster Collaboration.pdf:pdf},
         			 keywords = {Intelligence 
Analysis;Semantic Web;Terrorism;Web Portals},
         			 language = {English},
         			 title = {Semantic Web and Target-Centric 
Intelligence: Building Flexible Systems that Foster Collaboration},
         			 url = 
{http://en.wikipedia.org/wiki/Intelligence_cycle_(target-centric_approach)},
         			 year = {2006}
      
		}
	
   
                     
Inferring Binary Trust Relationships in Web-based Social Networks

Jennifer Golbeck and James Hendler

ACM Transactions on Internet Technology, 6(4), 497-529.

Ontologies for Ecoinformatics

Richard J. Williams, Neo D. Martinez, and Jennifer Golbeck

Journal of Web Semantics, 4(4), 237-242.

                        
      
		@article {1183470,
         			 abstract = {The growth of Web-based 
social networking and the properties of those networks have created great 
potential for producing intelligent software that integrates a user's 
social network and preferences. Our research looks particularly at 
assigning trust in Web-based social networks and investigates how trust 
information can be mined and integrated into applications. This article 
introduces a definition of trust suitable for use in Web-based social 
networks with a discussion of the properties that will influence its use 
in computation. We then present two algorithms for inferring trust 
relationships between individuals that are not directly connected in the 
network. Both algorithms are shown theoretically and through simulation to 
produce calculated trust values that are highly accurate. We then present 
TrustMail, a prototype email client that uses variations on these 
algorithms to score email messages in the user's inbox based on the user's 
participation and ratings in a trust network.},
         			 address = {New York, NY, USA},
         			 author = {Golbeck, Jennifer and Hendler, 
James},
         			 doi = 
{http://doi.acm.org/10.1145/1183463.1183470},
         			 issn = {1533-5399},
         			 journal = {ACM Transactions on Internet 
Technology},
         			 number = {4},
         			 pages = {497--529},
         			 publisher = {ACM},
         			 title = {Inferring Binary Trust 
Relationships in Web-based Social Networks},
         			 volume = {6},
         			 year = {2006}
      
		}
	
   
                     
Generating Predictive Movie Recommendations from Trust in Social Networks

Golbeck, Jennifer

In Proceedings of the 4th International Conference on Trust Management, Pisa, Italy, 2006 (pp. 93-104).

                        
      
		@inproceedings {d1e813,
         			 abstract = {Social networks are growing 
in number and size, with hundreds of millions of user accounts among them. 
One added benefit of these networks is that they allow users to encode 
more information about their relationships than just stating who they 
know. In this work, we are particularly interested in trust relationships, 
and how they can be used in designing interfaces. In this paper, we 
present FilmTrust, a website that uses trust in web-based social networks 
to create predictive movie recommendations. Using the FilmTrust system as 
a foundation, we show that these recommendations are more accurate than 
other techniques when the users opinions about a film are divergent from 
the average. We discuss this technique both as an application of social 
network analysis, as well as how it suggests other analyses that can be 
performed to help improve collaborative filtering algorithms of all 
types.},
         			 address = {Pisa, Italy},
         			 author = {Golbeck, Jennifer},
         			 booktitle = {Proceedings of the 4th 
International Conference on Trust Management},
         			 doi = {10.1007/11755593},
         			 file = {Golbeck - 2006 - Generating 
Predictive Movie Recommendations from Trust in Social Networks.pdf:pdf},
         			 isbn = {9783540342953},
         			 language = {English},
         			 month = {may},
         			 pages = {93--104},
         			 title = {Generating Predictive Movie 
Recommendations from Trust in Social Networks},
         			 url = 
{http://www.mendeley.com/research/generating-predictive-movie-recommendations-trust-social-networks-trust-management-lecture-notes-computer-science?utm_source=desktop\&utm_medium=1.0.1\&utm_campaign=open_catalog\&userDocumentId=571263c3-c1a9-44bf-a03e-4d9a1884b158 
http://www.springerlink.com/content/kl313421w6252620/},
         			 volume = {3986},
         			 year = {2006}
      
		}
	
   
                     
Semantic Web Technologies for Terrorist Network Analysis

Jennifer Golbeck, Aaron Mannes, and James Hendler (2006). 6. In Popp, Robert and Yen, John (Ed.)

(pp. 125-137). Wiley-IEEE Press.

                        
      
		@inbook {d1e679,
         			 abstract = {In this chapter, we will 
introduce the fundamentals of the Semantic Web with a focus on how it can 
be used for creating a portal of terrorism related information. We will 
describe the ontology developed as part of the MINDSWAP Counterterror 
project, and present a look at the experimental portal developed from our 
own data input. This leads into a discussion of how this technology can be 
used as part of the intelligence and counter-terrorism analysis 
processes.},
         			 author = {Golbeck, Jennifer and Mannes, 
Aaron and Hendler, James},
         			 booktitle = {Emergent Information 
Technologies and Enabling Policies for Counter-Terrorism},
         			 chapter = {6},
         			 doi = {10.1002/047178656X.ch6},
         			 edition = {1},
         			 editor = {Popp, Robert and Yen, John},
         			 file = {Golbeck, Mannes, Hendler - 2006 - 
Semantic Web Technologies for Terrorist Network Analysis.pdf:pdf},
         			 isbn = {978-0471776154},
         			 language = {English},
         			 pages = {125--137},
         			 publisher = {Wiley-IEEE Press},
         			 title = {Semantic Web Technologies for 
Terrorist Network Analysis},
         			 url = 
{http://onlinelibrary.wiley.com/doi/10.1002/047178656X.ch6/summary 
http://www.citeulike.org/user/lyss/author/Golbeck:J 
http://www.amazon.com/exec/obidos/ASIN/0471776157/jennifergolbeck 
http://books.google.com/books?id=Jzc3IKAhnrUC\&lpg=PR9\&ots=Hlqwurms9l\&dq=Golbeck 
"Information Technologies and Enabling Policies for Counter 
Terrorism"\&lr\&pg=PA126#v=onepage\&q=Golbeck "Information 
Technologies and Enabling Policies for Counter Terrorism"\&f=false},
         			 year = {2006}
      
		}
	
   
                     
Trust Network-based Filtering of Aggregated Claims

Jennifer Golbeck and Bijan Parsia

International Journal of Metadata, Semantics, and Ontologies, 1(1), 58-65.

                        
      
		@article {d1e961,
         			 abstract = {On the semantic web, 
assertions may be aggregated from many sources, those aggregations 
filtered, reasoned over, aggregated with other aggregators, displayed, 
scraped, extracted, recombined, and otherwise processed without 
significant human oversight. To preserve the connection between assertions 
and their source, various provenance schemes for semantic web data have 
been explored. However, the primary focus has been on authenticating the 
author of a particular statement, e.g., using digital signatures, but 
there is no provision for relating the authenticity of the source of the 
assertion and the trustworthiness of the assertion itself. This paper 
presents a method for using semantic web based trust networks to infer the 
reputation of sources for a statement and compose the reputation of 
several sources. By calculating a trust rating for each statement based on 
the ratings of its sources, the set of statements can be filtered based on 
the rating.},
         			 address = {Geneva, Switzerland},
         			 author = {Golbeck, Jennifer and Parsia, 
Bijan},
         			 doi = {10.1504/IJMSO.2006.008770},
         			 file = {Golbeck, Parsia - 2006 - Trust 
Network-based Filtering of Aggregated Claims.pdf:pdf},
         			 issn = {17442621},
         			 journal = {International Journal of 
Metadata, Semantics, and Ontologies},
         			 keywords = {information 
filtering;knowledge bases;ontologies;semantic web;social networks;trust},
         			 language = {English},
         			 number = {1},
         			 pages = {58--65},
         			 publisher = {Inderscience Publishers},
         			 title = {Trust Network-based Filtering of 
Aggregated Claims},
         			 url = 
{http://www.mendeley.com/research/trust-network-based-filtering-of-aggregated-claims?utm_source=desktop\&utm_medium=1.0.1\&utm_campaign=open_catalog\&userDocumentId=7004ba71-4ec8-4880-b1a7-673b663b3411},
         			 volume = {1},
         			 year = {2006}
      
		}
	
   
                     
Trust on the World Wide Web: A Survey

Golbeck, Jennifer

Foundations and Trends in Web Science, 1(2),131-197.

                        
      
		@article {1373449,
         			 abstract = {The success of the Web is 
based largely on its open, decentralized nature; at the same time, that 
allows for a wide range of perspectives and intentions. Trust is required 
to foster successful interactions and to filter the abundance of 
information. Trust on the World Wide Web: A Survey is a comprehensive 
survey of trust on the Web in all its contexts. Three main targets of 
trust are identified: trust in content, like webpages; datal trust in 
services, like peer-to-peer systems; and trust in people, originating in 
web-based social networks. Trust on the World Wide Web: A Survey also 
reviews applications that rely on trust and address how they utilize trust 
to improve functionality and interface. Trust on the World Wide Web: A 
Survey is an ideal reference for anyone with an interest in trust within 
the context of the Web. It examines how the Web breeds interaction between 
a variety of entities - people, services, and content. It asserts that 
trust is a critical component for these interactions, and as the science 
of the web progresses, so too must the understanding of trust in a Web 
environment.},
         			 address = {Hanover, MA, USA},
         			 author = {Golbeck, Jennifer},
         			 doi = {10.1561/1800000006},
         			 file = {Golbeck - 2006 - Trust on the 
World Wide Web A Survey.pdf:pdf},
         			 isbn = {978-1-60198-116-5},
         			 issn = {15550788},
         			 journal = {Foundations and Trends in Web 
Science},
         			 keywords = {COMPUTER interfaces;CONTENT 
filters (Computer science);HUMAN-computer interaction;SURVEYS;TRUST;WEB 
services;WEB sites;WORLD Wide Web},
         			 language = {English},
         			 month = {jan},
         			 number = {2},
         			 pages = {131--197},
         			 publisher = {Now Publishers Inc.},
         			 title = {Trust on the World Wide Web: A 
Survey},
         			 url = 
{http://dl.acm.org/citation.cfm?id=1373448.1373449},
         			 volume = {1},
         			 year = {2006}
      
		}
	
   
                     
Annotation and Provenance Tracking in Semantic Web Photo Libraries

Christian Halaschek-Wiener, Jennifer Golbeck, Andrew Schain, Michael Grove, Bijan Parsia, and James Hendler

In International Provenance and Annotation Workshop (IPAW) (pp. 82-89). Springer Berlin / Heidelberg.

                        
      
		@inproceedings {d1e711,
         			 abstract = {As the volume of digital 
images available on the Web continues to increase, there is a clear need 
for more advanced techniques for their effective retrieval and management. 
In this paper, we present a domain independent framework for both 
annotating and managing images on the Semantic Web. We introduce a tool 
that facilitates creating and publishing OWL annotations of image content 
to the Semantic Web. This is loosely coupled with a Semantic Web portal 
with provenance tracking. We illustrate the effectiveness of this system 
with an implementation of the approach and describe a hypothetical use 
case that resulted in a proof-of-concept designed in collaboration with 
NASA.},
         			 author = {Halaschek-Wiener, Christian and 
Golbeck, Jennifer and Schain, Andrew and Grove, Michael and Parsia, Bijan 
and Hendler, James},
         			 booktitle = {International Provenance and 
Annotation Workshop (IPAW)},
         			 doi = {10.1007/11890850_10},
         			 file = {Halaschek-Wiener et al. - 2006 - 
Annotation and Provenance Tracking in Semantic Web Photo 
Libraries.pdf:pdf},
         			 isbn = {978-3-540-46302-3},
         			 language = {English},
         			 pages = {82 -- 89},
         			 publisher = {Springer Berlin / 
Heidelberg},
         			 series = {Lecture Notes in Computer 
Science},
         			 title = {Annotation and Provenance 
Tracking in Semantic Web Photo Libraries},
         			 url = 
{http://www.springerlink.com/content/943g2452h82151m4/abstract/},
         			 volume = {4145},
         			 year = {2006}
      
		}
	
   
                     
Using Trust and Provenance for Content Filtering on the Semantic Web

Jennifer Golbeck and Aaron Mannes

In Proceedings of the Workshop on Models of Trust on the Web, WWW 2006, Edinburgh, Scotland, UK, 2006.

                        
      
		@inproceedings {d1e765,
         			 abstract = {Social networks are a popular 
movement on the web. Trust can be used effectively on the Semantic Web as 
annotations to social relationships. In this paper, we present a two level 
approach to integrating trust, provenance, and annotations in Semantic Web 
systems. We describe an algorithm for inferring trust relationships using 
provenance information and trust annotations in Semantic Web-based social 
networks. Then, we present two applications that combine the computed 
trust values with the provenance of other annotations to personalize 
websites. The FilmTrust system uses trust to compute personalized 
recommended movie ratings and to order reviews. An open source 
intelligence portal, Profiles In Terror, also has a beta system that 
integrates social networks with trust annotations. We believe that these 
two systems illustrate a unique way of using trust annotations and 
provenance to process information on the Semantic Web.},
         			 address = {Edinburgh, Scotland, UK},
         			 author = {Golbeck, Jennifer and Mannes, 
Aaron},
         			 booktitle = {Proceedings of the Workshop 
on Models of Trust on the Web, WWW 2006},
         			 doi = {10.1.1.108.1121},
         			 file = {Golbeck, Mannes - 2006 - Using 
Trust and Provenance for Content Filtering on the Semantic Web.pdf:pdf},
         			 language = {English},
         			 month = {may},
         			 title = {Using Trust and Provenance for 
Content Filtering on the Semantic Web},
         			 url = 
{http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.1121},
         			 year = {2006}
      
		}
	
   
                     
FilmTrust: Movie Recommendations from Semantic Web-based Social Networks

Jennifer Golbeck

International Semantic Web Conference. November 2005, Galway, Ireland

            
            
      

2005

Modeling a Description Logic Vocabulary for Cancer Research

Frank Hartel, Sherri de Coronado, Robert Dionne, Gilberto Fragoso, and Jennifer Golbeck

Journal of Biomedical Informatics, 38(2), 114-129.

                        
      
		@article {d1e1175,
         			 abstract = {The National Cancer Institute 
has developed the NCI Thesaurus, a biomedical vocabulary for cancer 
research, covering terminology across a wide range of cancer research 
domains. A major design goal of the NCI Thesaurus is to facilitate 
translational research. We describe: the features of Ontylog, a 
description logic used to build NCI Thesaurus; our methodology for 
enhancing the terminology through collaboration between ontologists and 
domain experts, and for addressing certain real world challenges arising 
in modeling the Thesaurus; and finally, we describe the conversion of NCI 
Thesaurus from Ontylog into Web Ontology Language Lite. Ontylog has proven 
well suited for constructing big biomedical vocabularies. We have 
capitalized on the Ontylog constructs Kind and Role in the collaboration 
process described in this paper to facilitate communication between 
ontologists and domain experts. The artifacts and processes developed by 
NCI for collaboration may be useful in other biomedical terminology 
development efforts.},
         			 address = {San Diego, California, USA},
         			 author = {Hartel, Frank and de Coronado, 
Sherri and Dionne, Robert and Fragoso, Gilberto and Golbeck, Jennifer},
         			 doi = {10.1016/j.jbi.2004.09.001},
         			 file = {Hartel et al. - 2005 - Modeling a 
Description Logic Vocabulary for Cancer Research.pdf:pdf},
         			 issn = {1532-0464},
         			 journal = {Journal of Biomedical 
Informatics},
         			 keywords = {OWL;T-box model;biomedical 
vocabulary;cancer research;description logic;ontology development},
         			 language = {English},
         			 number = {2},
         			 pages = {114--129},
         			 publisher = {Elsevier Science},
         			 title = {Modeling a Description Logic 
Vocabulary for Cancer Research},
         			 url = 
{http://www.mendeley.com/research/modeling-a-description-logic-vocabulary-for-cancer-research?utm_source=desktop\&utm_medium=1.0.1\&utm_campaign=open_catalog\&userDocumentId=6090f984-8812-4556-8e48-a2263397a651},
         			 volume = {38},
         			 year = {2005}
      
		}
	
   
                     
A Flexible Approach for Managing Digital Images on the Semantic Web

Christian Halaschek-Wiener, Andrew Schain, Jennifer Golbeck, Michael Grove, Bijan Parsia, and James Hendler

In 5th International Workshop on Knowledge Markup and Semantic Annotation, Galway, 2005 (pp. 49-58). Springer.

                        
      
		@inproceedings {d1e1137,
         			 abstract = {As the volume of digital 
images available on the Web continues to increase, there is a clear need 
for more advanced techniques for their effective retrieval and management. 
Recently, there has been an interest in applying Semantic Web technologies 
to represent the high level content of digital images in a machine 
processable format. While progress has been made, through a representative 
use case, we provide motivation for further work in developing more domain 
independent techniques for both annotating and managing images on the Web. 
Following this, we present an approach for publishing (OWL) annotations of 
image content to the Semantic Web, through the loose coupling of an 
annotation environment with a Semantic Web portal. Additionally, we 
present an implementation of the approach and describe a hypothetical use 
case that resulted in a proof-of-concept designed in collaboration with 
NASA.},
         			 address = {Galway},
         			 author = {Halaschek-Wiener, Christian and 
Schain, Andrew and Golbeck, Jennifer and Grove, Michael and Parsia, Bijan 
and Hendler, James},
         			 booktitle = {5th International Workshop 
on Knowledge Markup and Semantic Annotation},
         			 doi = {10.1.1.62.8464},
         			 file = {Halaschek-Wiener et al. - 2005 - 
A Flexible Approach for Managing Digital Images on the Semantic 
Web.pdf:pdf},
         			 language = {English},
         			 month = {nov},
         			 pages = {49--58},
         			 publisher = {Springer},
         			 title = {A Flexible Approach for Managing 
Digital Images on the Semantic Web},
         			 url = 
{http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.62.8464},
         			 year = {2005}
      
		}
	
   
                     
Semantic Web Interaction through Trust Network Recommender Systems

Golbeck, Jennifer

In End User Semantic Web Interaction Workshop at the 4th International Semantic Web Conference. Citeseer.

                        
      
		@inproceedings {d1e1079,
         			 abstract = {Social networks are growing 
in number and size, with hundreds of millions of user accounts among them. 
One added benefit of these networks is that they allow users to encode 
information about their relationships beyond stating who they know. In 
this paper, we present FilmTrust, a website that uses trust in Semantic 
Web-based social networks, to create predictive movie recommendations. We 
show how these recommendations are more accurate than other techniques in 
certain cases, and discuss this as a mechanism of Semantic Web 
interaction.},
         			 author = {Golbeck, Jennifer},
         			 booktitle = {End User Semantic Web 
Interaction Workshop at the 4th International Semantic Web Conference},
         			 file = {Golbeck - 2005 - Semantic Web 
Interaction through Trust Network Recommender Systems.pdf:pdf},
         			 language = {English},
         			 month = {nov},
         			 publisher = {Citeseer},
         			 title = {Semantic Web Interaction through 
Trust Network Recommender Systems},
         			 url = 
{http://www.mendeley.com/research/semantic-web-interaction-through-trust-network-recommender-systems?utm_source=desktop\&utm_medium=1.0.1\&utm_campaign=open_catalog\&userDocumentId=abd6baaf-cd60-49c6-bbdd-ec726d3949d9},
         			 volume = {4},
         			 year = {2005}
      
		}
	
   
                     
Spring-Embedded Graphs for Semantic Visualization

Jennifer Golbeck and Paul Mutton

(pp.172-182). Springer-Verlag.

                        
      
		@inbook {d1e1016,
         			 abstract = {In this chapter we have 
presented a graph drawing system for visualizing ontologies and 
collections of instance data on the Semantic Web. Related entities are 
drawn close to each other with a directed edge to symbolize the 
relationship, and the system is also capable of producing sensible 
automatic layouts of disconnected graphs. Through two case studies 
involving a real, deployed ontology and an aggregated set of instance 
data, we show how patterns about the underlying structure are more easily 
understood through the graph drawing than through text or other types of 
visual displays.},
         			 author = {Golbeck, Jennifer and Mutton, 
Paul},
         			 booktitle = {Visualizing the Semantic 
Web},
         			 chapter = {10},
         			 doi = {10.1007/1-84628-290-X},
         			 edition = {2nd},
         			 file = {Golbeck, Mutton - 2005 - 
Spring-Embedded Graphs for Semantic Visualization.pdf:pdf},
         			 isbn = {1852339764},
         			 language = {English},
         			 number = {172-182},
         			 pages = {172--182},
         			 publisher = {Springer-Verlag},
         			 title = {Spring-Embedded Graphs for 
Semantic Visualization},
         			 year = {2005}
      
		}
	
   
                     
Computing and Applying Trust in Web-based Social Networks

Golbeck, Jennifer

Ph.D. dissertation, University of Maryland, College Park.

                        
      
		@phdthesis {1104446,
         			 abstract = {The proliferation of 
web-based social networks has lead to new innovations in social 
networking, particularly by allowing users to describe their relationships 
beyond a basic connection. In this dissertation, I look specifically at 
trust in web-based social networks, how it can be computed, and how it can 
be used in applications. I begin with a definition of trust and a 
description of several properties that affect how it is used in 
algorithms. This is complemented by a survey of web-based social networks 
to gain an understanding of their scope, the types of relationship 
information available, and the current state of trust. The computational 
problem of trust is to determine how much one person in the network should 
trust another person to whom they are not connected. I present two sets of 
algorithms for calculating these trust inferences: one for networks with 
binary trust ratings, and one for continuous ratings. For each rating 
scheme, the algorithms are built upon the defined notions of trust. Each 
is then analyzed theoretically and with respect to simulated and actual 
trust networks to determine how accurately they calculate the opinions of 
people in the system. I show that in both rating schemes the algorithms 
presented can be expected to be quite accurate. These calculations are 
then put to use in two applications. FilmTrust is a website that combines 
trust, social networks, and movie ratings and reviews. Trust is used to 
personalize the website for each user, displaying recommended movie 
ratings, and ordering reviews by relevance. I show that, in the case where 
the user's opinion is divergent from the average, the trust-based 
recommended ratings are more accurate than several other common 
collaborative filtering techniques. The second application is TrustMail, 
an email client that uses the trust rating of each sender as a score for 
the message. Users can then sort messages according to their trust value. 
I conclude with a description of other applications where trust inferences 
can be used, and how the lessons from this dissertation can be applied to 
infer information about relationships in other complex systems.},
         			 address = {College Park, MD, USA},
         			 author = {Golbeck, Jennifer},
         			 file = {Golbeck - 2005 - Computing and 
Applying Trust in Web-based Social Networks.pdf:pdf},
         			 isbn = {0-542-18324-2},
         			 keywords = {Recommender Systems;Semantic 
Web;Social Networks;Trust;Web Intelligence},
         			 language = {English},
         			 pages = {199},
         			 publisher = {University of Maryland at 
College Park},
         			 school = {University of Maryland, College 
Park},
         			 title = {Computing and Applying Trust in 
Web-based Social Networks},
         			 url = {http://hdl.handle.net/1903/2384},
         			 year = {2005}
      
		}
	
   
                     
Art Theory for Web Design

Golbeck, Jennifer

Addison Wesley

                        
      
		@book {d1e89,
         			 author = {Golbeck, Jennifer},
         			 isbn = {978-1576761427},
         			 language = {English},
         			 publisher = {Addison Wesley},
         			 title = {Art Theory for Web Design},
         			 url = 
{http://www.amazon.com/Art-Theory-Design-Jennifer-Golbeck/dp/1576761428},
         			 year = {2005}
      
		}
	
   
                     
Semantic Web Research Trends and Directions

Jennifer Golbeck, Bernardo Cuenca Grau, Christian Halaschek-Wiener, Kalyanpur Aditya, Katz Yarden, Bijan Parsia,Schain Andrew, Sirin Evren, and James Hendler

In Proceedings of the 1st International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005, Kolkata, 2005 (pp. 160-169). Springer Berlin / Heidelberg.

                        
      
		@inproceedings {d1e1045,
         			 abstract = {The Semantic Web is not a 
single technology, but rather a collection of technologies designed to 
work together. As a result, research on the Semantic Web intends both to 
advance individual technologies as well as to integrate them and take 
advantage of the result. In this paper we present new work on many layers 
of the Semantic Web, including content generation, web services, 
e-connections, and trust.},
         			 address = {Kolkata},
         			 author = {Golbeck, Jennifer and Grau, 
Bernardo Cuenca and Halaschek-Wiener, Christian and Aditya, Kalyanpur and 
Yarden, Katz and Parsia, Bijan and Andrew, Schain and Evren, Sirin and 
Hendler, James},
         			 booktitle = {Proceedings of the 1st 
International Conference on Pattern Recognition and Machine Intelligence, 
PReMI 2005},
         			 doi = {10.1007/11590316_20},
         			 file = {Golbeck et al. - 2005 - Semantic 
Web Research Trends and Directions.pdf:pdf},
         			 isbn = {978-3-540-30506-4},
         			 issn = {1611-3349},
         			 language = {English},
         			 month = {dec},
         			 pages = {160--169},
         			 publisher = {Springer Berlin / 
Heidelberg},
         			 title = {Semantic Web Research Trends and 
Directions},
         			 url = 
{http://www.springerlink.com/content/pl7014p756203x0l/about/},
         			 volume = {3776},
         			 year = {2005}
      
		}
	
   
                     
Social Networks and Intelligent Systems

Pedro Domingos, Jennifer Golbeck, Peter Mika, and Andrzej Nowak

IEEE Intelligent Systems, Trends & Controversies.

                        
      
		@article {d1e989,
         			 author = {Domingos, Pedro and Golbeck, 
Jennifer and Mika, Peter and Nowak, Andrzej},
         			 journal = {IEEE Intelligent Systems, 
Trends \& Controversies},
         			 language = {English},
         			 month = {jan},
         			 title = {Social Networks and Intelligent 
Systems},
         			 year = {2005}
      
		}
	
   
                     
Visualizing Web Ontologies with CropCircles

Bijan Parsia, Taowei Wang, and Jennifer Golbeck

In End User Semantic Web Interaction Workshop at the 4th International Semantic Web Conference.

@inproceedings {d1e1113, author = {Parsia, Bijan and Wang, Taowei and Golbeck, Jennifer}, booktitle = {End User Semantic Web Interaction Workshop at the 4th International Semantic Web Conference}, file = {Parsia, Wang, Golbeck - 2005 - Visualizing Web Ontologies with CropCircles.pdf:pdf}, language = {English}, month = {nov}, title = {Visualizing Web Ontologies with CropCircles}, year = {2005} }
Social Networks Applied

Steffen Staab, Pedro Domingos, Peter Mika, Jennifer Golbeck, Li Ding, Tim Finin, Anupam Joshi, Andrzej Nowak, andRobin R. Vallacher

IEEE Intelligent Systems, 20(1), 80-93.

                        
      
		@article {Staab-2005-SNA-1048713.1048791,
         			 abstract = {Social networks have 
interesting properties. They influence our lives enormously without us 
being aware of the implications they raise. The authors investigate the 
following areas concerning social networks: how to exploit our 
unprecedented wealth of data and how we can mine social networks for 
purposes such as marketing campaigns; social networks as a particular form 
of influence, i.e.., the way that people agree on terminology and this 
phenomenon's implications for the way we build ontologies and the Semantic 
Web; social networks as something we can discover from data; the use of 
social network information to offer a wealth of new applications such as 
better recommendations for restaurants, trustworthy email senders, or 
(maybe) blind dates; investigation of the richness and difficulty of 
harvesting FOAF (friend-of-a-friend) information; and by looking at how 
information processing is bound to social context, the resulting ways that 
network topology's definition determines its outcomes.},
         			 address = {Piscataway, NJ, USA},
         			 author = {Staab, Steffen and Domingos, 
Pedro and Mika, Peter and Golbeck, Jennifer and Ding, Li and Finin, Tim 
and Joshi, Anupam and Nowak, Andrzej and Vallacher, Robin R.},
         			 doi = {10.1109/MIS.2005.16},
         			 file = {Staab et al. - 2005 - Social 
Networks Applied.pdf:pdf},
         			 issn = {1541-1672},
         			 journal = {IEEE Intelligent Systems},
         			 keywords = {Semantic Web;friend of a 
friend;network topology;ontology;social networks},
         			 language = {English},
         			 month = {jan},
         			 number = {1},
         			 pages = {80--93},
         			 publisher = {IEEE Educational Activities 
Department},
         			 title = {Social Networks Applied},
         			 url = 
{http://dx.doi.org/10.1109/MIS.2005.16 
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1392679\&tag=1},
         			 volume = {20},
         			 year = {2005}
      
		}
	
   
                     
Personalizing Applications through Integration of Inferred Trust Values in Semantic Web-Based Social Networks

Golbeck, Jennifer

In Proceedings of the 4th International Semantic Web Conference (Semantic Network Analysis Workshop), College Park, Maryland, 2005.

                        
      
		@inproceedings {d1e1096,
         			 abstract = {Social Network data, 
represented using the FOAF Vocabulary, is some of the most prevalent data 
on the Semantic Web. In this work, we look particularly at trust 
relationships in web-based social networks and their implications for 
software personalization. We present a network analysis as the foundation 
for TidalTrust, and algorithm for inferring trust relationships, and then 
illustrate how the results can be used to improve application 
interfaces.},
         			 address = {College Park, Maryland},
         			 author = {Golbeck, Jennifer},
         			 booktitle = {Proceedings of the 4th 
International Semantic Web Conference (Semantic Network Analysis 
Workshop)},
         			 file = {Golbeck - 2005 - Personalizing 
Applications through Integration of Inferred Trust Values in Semantic 
Web-Based Social Networks.pdf:pdf},
         			 language = {English},
         			 month = {nov},
         			 organization = {University of Maryland, 
College Park},
         			 title = {Personalizing Applications 
through Integration of Inferred Trust Values in Semantic Web-Based Social 
Networks},
         			 year = {2005}
      
		}
	
   
                     

2004

Accuracy of Metrics for Inferring Trust and Reputation

Jennifer Golbeck and James Hendler

In Proceedings of the 14th International Conference on Knowledge Engineering and Knowledge Management, Northamptonshire, UK, 2004 (pp. 116-131). Springer Berlin / Heidelberg.

                        
      
		@inproceedings {d1e1339,
         			 abstract = {While most research on the 
topic of trust on the semantic web has focused largely on digital 
signatures, certificates, and authentication, more social notions of trust 
which are reputation-based are starting to gain attention. In this paper, 
we describe an algorithm for generating locally-calculated reputation 
ratings from a Semantic Web Social Network. We present mathematical and 
experimental results that show the effectiveness of this algorithm to 
accurately infer the reputation of a node. We then describe TrustMail, an 
application that uses the network for rating email.},
         			 address = {Northamptonshire, UK},
         			 author = {Golbeck, Jennifer and Hendler, 
James},
         			 booktitle = {Proceedings of the 14th 
International Conference on Knowledge Engineering and Knowledge 
Management},
         			 doi = {10.1007/978-3-540-30202-5_8},
         			 file = {Golbeck, Hendler - 2004 - 
Accuracy of Metrics for Inferring Trust and Reputation.pdf:pdf},
         			 isbn = {978-3-540-23340-4},
         			 issn = {1611-3349},
         			 language = {English},
         			 month = {oct},
         			 pages = {116--131},
         			 publisher = {Springer Berlin / 
Heidelberg},
         			 series = {Lecture Notes in Computer 
Science},
         			 title = {Accuracy of Metrics for 
Inferring Trust and Reputation},
         			 url = 
{http://www.springerlink.com/content/4m9puy354tw7xeh9/},
         			 volume = {3257},
         			 year = {2004}
      
		}
	
   
                     
No Title

Golbeck, Jennifer (2004). IRC: Chatr. In (Eds.)

Cambridge, Massuchusetts, USA: O'Reilly Associates.

                        
      
		@inbook {d1e1283,
         			 address = {Cambridge, Massuchusetts, 
USA},
         			 author = {Golbeck, Jennifer},
         			 booktitle = {OS X Panther Hacks},
         			 chapter = {IRC: Chatr},
         			 language = {English},
         			 publisher = {O'Reilly Associates},
         			 title = {No Title},
         			 year = {2004}
      
		}
	
   
                     
Semantic Web Interaction on Internet Relay Chat

Jennifer Golbeck and Paul Mutton

In Proceedings of Interaction Design on the Semantic Web, New York, New York, 2004.

                        
      
		@inproceedings {d1e1422,
         			 abstract = {Internet Relay Chat (IRC) is 
a chat system that has millions of users. IRC robots (bots) are programs 
that sit in chat rooms and provide different services to users. The IRC 
bot as a mechanism for human interaction with the Semantic Web -- 
specifically with web services and knowledge bases -- is simple to 
program, has an intuitive, conversational interface for human users, and 
fits well with the inputs and outputs of Semantic Web queries. This paper 
presents implementations of bots for interacting with web services and 
FOAF/Trust data models. We outline tools for implementation and present 
directions for future work to generalize the function of these bots.},
         			 address = {New York, New York},
         			 author = {Golbeck, Jennifer and Mutton, 
Paul},
         			 booktitle = {Proceedings of Interaction 
Design on the Semantic Web},
         			 file = {Golbeck, Mutton - 2004 - Semantic 
Web Interaction on Internet Relay Chat.pdf:pdf},
         			 keywords = {FOAF;Internet Relay Chat 
(IRC);Semantic Web;bots},
         			 language = {English},
         			 month = {may},
         			 title = {Semantic Web Interaction on 
Internet Relay Chat},
         			 year = {2004}
      
		}
	
   
                     
No Title

Golbeck, Jennifer 

Cambridge, Massuchusetts, USA: O'Reilly Associates.

                        
      
		@inbook {d1e1210,
         			 address = {Cambridge, Massuchusetts, 
USA},
         			 author = {Golbeck, Jennifer},
         			 booktitle = {IRC Hacks},
         			 isbn = {978-0596006877},
         			 language = {English},
         			 month = {aug},
         			 publisher = {O'Reilly Associates},
         			 title = {No Title},
         			 url = 
{http://www.amazon.com/exec/obidos/ASIN/059600687X/jennifergolbeck},
         			 year = {2004}
      
		}
	
   
                     
Lifecycle of a Casual Web Ontology Development Process

Aditya Kalyanpur, Nada Hashmi, Jennifer Golbeck, and Bijan Parsia

In Proceedings of the Workshop on Application Design Development and Implementation Issues in the Semantic Web, New York, New York, USA, 2004.

                        
      
		@inproceedings {d1e1392,
         			 abstract = {Most of the existing ontology 
development toolkits are not catered towards ëcasual web ontology 
developmentí, a notion analogous to standard web page development. Key 
features of this process include easy and rapid creation of ontological 
skeletons, searching and linking to relevant existing ontologies and a 
natural language-based technique to improve presentation of ontologies. In 
this paper we elaborate the stages in a casual ontology development 
process, propose novel solutions to realize them and discuss 
implementations in an in-house ontology development toolkit ñ SWOOPed.},
         			 address = {New York, New York, USA},
         			 author = {Kalyanpur, Aditya and Hashmi, 
Nada and Golbeck, Jennifer and Parsia, Bijan},
         			 booktitle = {Proceedings of the Workshop 
on Application Design Development and Implementation Issues in the 
Semantic Web},
         			 file = {Kalyanpur et al. - 2004 - 
Lifecycle of a Casual Web Ontology Development Process.pdf:pdf},
         			 language = {English},
         			 month = {may},
         			 series = {CEUR Workshop Proceedings},
         			 title = {Lifecycle of a Casual Web 
Ontology Development Process},
         			 volume = {105},
         			 year = {2004}
      
		}
	
   
                     
Reputation Network Analysis for Email Filtering

Jennifer Golbeck and James Hendler

In Proceedings of the 1st Conference on Email and Anti-Spam, Mountain View, California, 2004.

                        
      
		@inproceedings {d1e1366,
         			 abstract = {In addition to traditional 
spam detection applications, new methods of filtering messages -- 
including whitelist and social network based filters -- are being 
investigated to further improve on mail sorting and classification. In 
this paper, we present an email scoring mechanism based on a social 
network augmented with reputation ratings. We present an algorithm for 
inferring reputation ratings between individuals and demonstrate through 
experiments that it is accurate based on current data. We then integrate 
those scores into a mail application, TrustMail, to show how they may be 
used in combination with other techniques for sorting and filtering 
mail.},
         			 address = {Mountain View, California},
         			 author = {Golbeck, Jennifer and Hendler, 
James},
         			 booktitle = {Proceedings of the 1st 
Conference on Email and Anti-Spam},
         			 file = {Golbeck, Hendler - 2004 - 
Reputation Network Analysis for Email Filtering.pdf:pdf},
         			 language = {English},
         			 month = {jul},
         			 title = {Reputation Network Analysis for 
Email Filtering},
         			 year = {2004}
      
		}
	
   
                     
OWL: Capturing semantic information using a standardized web ontology language

Aditya Kalyanpur, Jennifer Golbeck, Jay Banerjee, and James Hendler

Multilingual Computing & Technology Magazine, 15(7).

                        
      
		@article {d1e1306,
         			 abstract = {The Semantic Web is an 
extension of the current World Wide Web. The hypertext pages that present 
information to humans remain, but a new layer of machine understandable 
data is added to allow computers to participate on the Web in new ways. 
Using standardized languages such as RDF and OWL, semantic web data can 
precisely describe the knowledge content underlying HTML pages, specify 
the implicit information contained in media like images and videos, or be 
a publicly accessible and usable representation of an otherwise 
inaccessible database. An integral component of the Semantic Web is the 
notion of an ontology. Ontologies are also extensively used in natural 
language processing (NLP) systems. However, the lack of a standardized 
ontology language has made it difficult to share and reuse ontological 
information across interrelated systems. The Semantic Web provides such a 
standard -- the Web Ontology Language (OWL) - which can be used to 
overcome the semantic interoperability problem, in addition to supporting 
a wide variety of intelligent web-based applications.},
         			 author = {Kalyanpur, Aditya and Golbeck, 
Jennifer and Banerjee, Jay and Hendler, James},
         			 file = {Kalyanpur et al. - 2004 - OWL 
Capturing semantic information using a standardized web ontology 
language.pdf:pdf},
         			 journal = {Multilingual Computing \& 
Technology Magazine},
         			 language = {English},
         			 month = {nov},
         			 number = {7},
         			 title = {OWL: Capturing semantic 
information using a standardized web ontology language},
         			 volume = {15},
         			 year = {2004}
      
		}
	
   
                     
SlideBar: Analysis of a Linear Input Device

Leslie Chipman, Benjamin Bederson, and Jennifer Golbeck

Behaviour and Information Technology, 23(1), 1-9.

                        
      
		@article {d1e1448,
         			 address = {Bristol, PA, USA},
         			 author = {Chipman, Leslie and Bederson, 
Benjamin and Golbeck, Jennifer},
         			 doi = 
{http://dx.doi.org/10.1080/01449290310001638487},
         			 file = {Chipman, Bederson, Golbeck - 2004 
- SlideBar Analysis of a Linear Input Device.pdf:pdf},
         			 issn = {0144-929X},
         			 journal = {Behaviour and Information 
Technology},
         			 language = {English},
         			 number = {1},
         			 pages = {1--9},
         			 publisher = {Taylor \& Francis, 
Inc.},
         			 title = {SlideBar: Analysis of a Linear 
Input Device},
         			 volume = {23},
         			 year = {2004}
      
		}
	
   
                     
Prototype development of an immunology ontology that integrates multiple biomedical ontologies

Pin Xu, Lyubov Remennik, N. Rao Thotakura, Jennifer Golbeck, Liju Fan.

7th International Protege Conference. July 2004, Washington, DC.

            
            
      

2003

Trust Networks on the Semantic Web

Jennifer Golbeck, Bijan Parsia, and James Hendler 

In Proceedings of Cooperative Information Agents 2003, Helsinki, Finland, 2003 (pp. 238-249).

                        
      
		@inproceedings {d1e1520,
         			 abstract = {The so-called Web of Trust is 
one of the ultimate goals of the Semantic Web. Research on the topic of 
trust in this domain has focused largely on digital signatures, 
certificates, and authentication. At the same time, there is a wealth of 
research into trust and social networks in the physical world. In this 
paper, we describe an approach for integrating the two to build a web of 
trust in a more social respect. This paper describes the applicability of 
social network analysis to the semantic web, particularly discussing the 
multi-dimensional networks that evolve from ontological trust 
specifications. As a demonstration of algorithms used to infer trust 
relationships, we present several tools that allow users to take advantage 
of trust metrics that use the network.},
         			 address = {Helsinki, Finland},
         			 author = {Golbeck, Jennifer and Parsia, 
Bijan and Hendler, James},
         			 booktitle = {Proceedings of Cooperative 
Information Agents 2003},
         			 doi = {10.1504/IJMSO.2006.008770},
         			 file = {Golbeck, Parsia, Hendler - 2003 - 
Trust Networks on the Semantic Web.pdf:pdf},
         			 language = {English},
         			 month = {aug},
         			 number = {1},
         			 pages = {238--249},
         			 title = {Trust Networks on the Semantic 
Web},
         			 url = 
{http://www.mendeley.com/research/trust-networks-semantic-web-14?utm_source=desktop\&utm_medium=1.0.1\&utm_campaign=open_catalog\&userDocumentId=d2f0b4bb-2ecd-4cda-8564-7d4550c81841},
         			 volume = {1},
         			 year = {2003}
      
		}
	
   
                     
Visualization of Semantic Metadata and Ontologies

Paul Mutton and Jennifer Golbeck

In Proceedings of Information Visualization 2003, London, UK, 2003 (pp. 300-305). IEEE Computer Society

                        
      
		@inproceedings {939675,
         			 abstract = {Implicit information embedded 
in semantic web graphs, such as topography, clusters, and disconnected 
subgraphs is difficult to extract from text files. Visualizations of the 
graphs can reveal some of these features, but existing systems for 
visualizing metadata focus on aspects other than understanding the greater 
structure. In this paper, we present a tool for generating visualizations 
of ontologies and metadata by using a modified spring embedder to achieve 
an automatic layout. Through a case study using a mid-sized ontology, we 
show that interesting information about the data relationships can be 
extracted through our visualization of the physical graph structure.},
         			 address = {London, UK},
         			 author = {Mutton, Paul and Golbeck, 
Jennifer},
         			 booktitle = {Proceedings of Information 
Visualization 2003},
         			 file = {Mutton, Golbeck - 2003 - 
Visualization of Semantic Metadata and Ontologies.pdf:pdf},
         			 isbn = {0-7695-1988-1},
         			 keywords = 
{drawing;graph;layout;metadata;ontologies;semantic;visualization},
         			 language = {English},
         			 month = {jul},
         			 pages = {300--305},
         			 publisher = {IEEE Computer Society},
         			 title = {Visualization of Semantic 
Metadata and Ontologies},
         			 year = {2003}
      
		}
	
   
                     
The National Cancer Institute's Thesaurus and Ontology.

Jennifer Golbeck, Gilberto Fragoso, Frank Hartel, James Hendler, Jim Oberthaler, and Bijan Parsia

Journal of Web Semantics, 1(1).

                        
      
		@article {d1e1481,
         			 author = {Golbeck, Jennifer and Fragoso, 
Gilberto and Hartel, Frank and Hendler, James and Oberthaler, Jim and 
Parsia, Bijan},
         			 file = {Golbeck et al. - 2003 - The 
National Cancer Institute's Thesaurus and Ontology.pdf:pdf},
         			 journal = {Journal of Web Semantics},
         			 language = {English},
         			 month = {dec},
         			 number = {1},
         			 title = {The National Cancer Institute's 
Thesaurus and Ontology},
         			 volume = {1},
         			 year = {2003}
      
		}
	
   
                     

2002

Unintelligent Swarming for Robust Exploratory Systems

Golbeck, Jennifer

In Proceedings of the IASTED International Conference Automation, Control, and Information Technology, Novosibirsk, Russia, 2002.

                        
      
		@inproceedings {d1e1660,
         			 abstract = {Using many inexpensive rovers 
in place of single costly ones is an idea that has been gaining attention 
in the last decade. While much research in the field addresses intelligent 
swarming, in this paper, we look at unintelligent swarming as a control 
mechanism for an exploratory system. The two main issues that determine 
its effectiveness are how thoroughly a space is covered, and whether or 
not the swarm is able to maintain its behavior in the face of failures in 
the system. These results show that a simple algorithm implemented here 
produces performance that is highly robust and well suited to 
exploration.},
         			 address = {Novosibirsk, Russia},
         			 author = {Golbeck, Jennifer},
         			 booktitle = {Proceedings of the IASTED 
International Conference Automation, Control, and Information Technology},
         			 file = {Golbeck - 2002 - Unintelligent 
Swarming for Robust Exploratory Systems.pdf:pdf},
         			 keywords = {distributed 
control;exploration;fuzzy control;swarm behavior},
         			 language = {English},
         			 month = {jun},
         			 title = {Unintelligent Swarming for 
Robust Exploratory Systems},
         			 year = {2002}
      
		}
	
   
                     
New Tools for the Semantic Web

Jennifer Golbeck, Michael Grove, Bijan Parsia, Aditya Kalyanpur, and James Hendler

In Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management, London, UK, UK, 2002 (pp. 392-400). Springer-Verlag.

                        
      
		@inproceedings {650871,
         			 abstract = {The Semantic Web will allow 
for significantly more machine- readable content to be available on the 
World Wide Web. Getting this content onto the web, and using it once it is 
there, requires new “metaphors” for working with Semantic Web data. In 
this paper, we describe the “Semantic Web Portal” an approach to using 
Semantic Web content, and some (open source) tools that we are developing 
to make it a reality.},
         			 address = {London, UK, UK},
         			 author = {Golbeck, Jennifer and Grove, 
Michael and Parsia, Bijan and Kalyanpur, Aditya and Hendler, James},
         			 booktitle = {Proceedings of the 13th 
International Conference on Knowledge Engineering and Knowledge 
Management},
         			 file = {Golbeck et al. - 2002 - New Tools 
for the Semantic Web.pdf:pdf},
         			 isbn = {3-540-44268-5},
         			 language = {English},
         			 month = {oct},
         			 pages = {392--400},
         			 publisher = {Springer-Verlag},
         			 title = {New Tools for the Semantic Web},
         			 year = {2002}
      
		}
	
   
                     
Evolving Optimal Parameters for Swarm Control

Golbeck, Jennifer

In Proceedings of the 2002 NASA/DoD Conference on Evolvable Hardware, Washington, DC, USA, 2002 (pp. 152-153). IEEE Computer Society.

                        
      
		@inproceedings {787875,
         			 abstract = {Using many inexpensive rovers 
in place of single costly ones is an idea that has been gaining attention 
in the last decade. How to effectively control those rovers is an open 
question, but swarming is an attractive option to present. While much 
research in the field investigates intelligent swarming, recent research 
has shown that the unintelligent swarm is an effective control mechanism 
for thoroughly covering a space and maintaining swarm-like behavior in the 
face of widespread failures. This paper takes that research one step 
further, exploring the application of a genetic algorithm to evolve 
optimal parameters for an exploratory swarm.},
         			 address = {Washington, DC, USA},
         			 author = {Golbeck, Jennifer},
         			 booktitle = {Proceedings of the 2002 
NASA/DoD Conference on Evolvable Hardware},
         			 doi = {10.1109/EH.2002.1029880},
         			 file = {Golbeck - 2002 - Evolving Optimal 
Parameters for Swarm Control.pdf:pdf},
         			 isbn = {0-7695-1718-8},
         			 keywords = {distributed 
control;evolutionary optimization;genetic algorithms;swarm behavior},
         			 language = {English},
         			 pages = {152--153},
         			 publisher = {IEEE Computer Society},
         			 title = {Evolving Optimal Parameters for 
Swarm Control},
         			 url = 
{http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1029880},
         			 year = {2002}
      
		}
	
   
                     
Evolving Strategies for the Prisoner's Dilemma

Golbeck, Jennifer

In Advances in Intelligent Systems, Fuzzy Systems, and Evolutionary Computation (pp. 299-306).

                        
      
		@inproceedings {d1e1608,
         			 abstract = {RDF is emerging as one of the 
main languages for creating semantic markup on the web. The RDF Editor 
combines WYSIWIG HTML editing with a semantic web portal for guided 
semantic markup using distributed vocabularies. Instead of serving as a 
platform for developing vocabularies and relationships, this editor is 
designed to provide a simple interface for users to add RDF to their HTML 
documents as they are created. Users can search online repositories for 
existing ontologies to borrow terms for use in their own documents. This 
paper describes the implementation and interface features of the tool.},
         			 address = {Lyon, France},
         			 author = {Kalyanpur, Aditya and Golbeck, 
Jennifer and Grove, Michael and Hendler, James},
         			 booktitle = {Proceedings of Semantic 
Authoring, Annotation \& Knowledge Markup (ECAI 2002)},
         			 file = {Kalyanpur et al. - 2002 - An RDF 
Editor and Portal for the Semantic Web.pdf:pdf},
         			 language = {English},
         			 month = {jul},
         			 title = {An RDF Editor and Portal for the 
Semantic Web},
         			 year = {2002}
      
		}
	
   
                     
Semantic Web Tools from MINDSWAP

Jennifer Golbeck, Ron Alford, Ross Baker, Mike Grove, Jim Hendler, Aditya Kalyanpur, Amy Loomis, Ron Reck

1st Annual International Semantic Web Conference, June 2002, Sardinia, Italy.

            
            
      
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