SpatioTextual Extraction of Document on the Web for Digital Government Applications

Search technology today is dominated by search engines such as the one provided by Google where for a given query string s, a set D of documents is retrieved with the aid of an algorithm that ranks the elements of D on the basis of how many other documents link to it. In this project we investigate the issues involved in the development of a search engine that supports geographic location retrieval, and its deployment in a setting involving digital government applications where we also want to retrieve documents on the basis of spatial proximity.

NSF Grant IIS-07-13501

System Site:

System Site:

Relevant Publications:

  1. M. D. Lieberman, H. Samet, J. Sankaranarayanan, J. Sperling
    STEWARD: architecture of a spatio-textual search engine.
    In H. Samet, M. Schneider, and C. Shahabi, editors, Proceedings of the 15th ACM International Symposium on Advances in Geographic Information Systems, pages 186-193, Seattle, WA, November 2007.[link]
    Categories: [spatio-textual search engine]

  2. M. D. Lieberman, J. Sankaranarayanan, H. Samet, J. Sperling
    Augmenting spatio-textual search with an infectious disease ontology.
    In Proceedings of the Workshop on Information Integration Methods, Architectures, and Systems (IIMAS08) (ICDE Workshops 2008), pages 266-269, Cancun, Mexico, April 2008.[link]
    Categories: [spatio-textual search engine]

  3. B. Teitler, M. D. Lieberman, D. Panozzo, J. Sankaranarayanan, H. Samet, J. Sperling
    NewsStand: A new view on news.
    In W. G. Aref, M. F. Mokbel, H. Samet, M. Schneider, C. Shahabi, and O. Wolfson, editors, Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pages 144-153, Irvine, CA, November 2008.[link]
    Categories: [spatio-textual search engine]

  4. H. Samet, B. E. Teitler, M. D. Lieberman, J. Sankaranarayanan, D. Panozzo, J. Sperling
    Reading news with maps: The power of searching with spatial synonyms.
    Technical report, Computer Science Department, University of Maryland, College Park, MD, 2009.[link]
    submitted for publication
    Categories: [spatio-textual search engine]

  5. M. D. Lieberman, H. Samet, J. Sankaranarayanan
    Geotagging: Using proximity, sibling, and prominence clues to understand comma groups.
    In R. Purves, C. Jones, and P. Clough, editors, Proceedings of 6th Workshop on Geographic Information Retrieval, Zurich, Switzerland, February 2010.[link]
    online proceedings
    Categories: [spatio-textual search engine]

  6. M. D. Lieberman, H. Samet, J. Sankaranarayanan
    Geotagging with local lexicons to build indexes for textually-specified spatial data.
    In Proceedings of the 26th IEEE International Conference on Data Engineering, pages 201-212, Long Beach, CA, March 2010.[link]
    Categories: [spatio-textual search engine]