STEWARD: demo of spatio-textual extraction on the web aiding the retrieval of documents

Authors:
Hanan Samet;Michael D. Lieberman;Jagan Sankaranarayanan;Jon Sperling
Affiliations:
University of Maryland at College Park;University of Maryland at College Park;University of Maryland at College Park;HUD Office of Policy Development & Research (PD&R), Washington D.C.
Venue:
dg.o '07 Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains
Year:
2007

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Abstract

A spatio-textual search engine, termed "STEWARD" is demonstrated where document similarity is based on both the textual similarity as well as the spatial proximity of the locations in the document to the spatial search input. STEWARD's performance is enhanced by the presence of a document tagger that is able to identify textual references to geographical entities. The user-interface of STEWARD provides the ability to browse results, thereby making it a valuable "knowledge discovery" tool.