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STEWARD: architecture of a spatio-textual search engine
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Source Geographic Information Systems archive
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems table of contents
Seattle, Washington
SESSION: Search engines and semantics table of contents
Article No. 25  
Year of Publication: 2007
ISBN:978-1-59593-914-2
Authors
Michael D. Lieberman  University of Maryland at College Park
Hanan Samet  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
: Oak Ridge National Laboratory
: Google
: ESRI
Microsoft : Microsoft
Publisher
ACM  New York, NY, USA
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ABSTRACT

STEWARD ("Spatio-Textual Extraction on the Web Aiding Retrieval of Documents"), a system for extracting, querying, and visualizing textual references to geographic locations in unstructured text documents, is presented. Methods for retrieving and processing web documents, extracting and disambiguating georeferences, and identifying geographic focus are described. A brief overview of STEWARD's querying capabilities, as well as the design of an intuitive user interface, are provided. Finally, several application scenarios and future extensions to STEWARD are discussed.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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