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STEWARD: demo of spatio-textual extraction on the web aiding the retrieval of documents
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Source
dg.o; Vol. 228 archive
Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains table of contents
Philadelphia, Pennsylvania
SESSION: System demonstrations and posters table of contents
Pages: 300 - 301  
Year of Publication: 2007
ISBN:1-59593-599-1
Authors
Hanan Samet  University of Maryland at College Park
Michael D. Lieberman  University of Maryland at College Park
Jagan Sankaranarayanan  University of Maryland at College Park
Jon Sperling  HUD Office of Policy Development & Research (PD&R), Washington D.C.
Sponsors
: Center for Technology in Government
: CISCO
: Center for Statistical Ecology and Environmental Statistics
: CIMIC
Publisher
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 13,   Citation Count: 0
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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.


REFERENCES

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Collaborative Colleagues:
Hanan Samet: colleagues
Michael D. Lieberman: colleagues
Jagan Sankaranarayanan: colleagues
Jon Sperling: colleagues