Open Source Information Geospatial Overlay (OSIGO)

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$749,857.00
Award Year:
2009
Program:
STTR
Phase:
Phase II
Contract:
W31P4Q-09-C-0313
Agency Tracking Number:
07ST1-0037
Solicitation Year:
2007
Solicitation Topic Code:
ST071-005
Solicitation Number:
2007.
Small Business Information
Geosemble Technologies
841 Apollo Street, Suite 400, El Segundo, CA, 90245-
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
175898175
Principal Investigator:
Jason Chen
Director of R&D
(310) 414-9849
jchen@geosemble.com
Business Contact:
Scott Battenburg
CFO
(310) 414-9849
sbattenburg@geosemble.com
Research Institution:
University of Southern California
Elizabeth H Hisserich
Dept. of Contracts&Grants
837 West Downey Way, Room 306
Los Angeles, CA, 90089-
(213) 821-1106
Nonprofit college or university
Abstract
The objective of this project is to develop a capability to automatically link news articles to satellite imagery and then to display summaries of the linked articles. In Phase I of this effort, we developed an initial approach to automatically link news articles to geographic locations and then cluster and summarize the linked articles. In our experimental evaluation, we showed that articles could be linked with high precision and moderate recall. We also demonstrated the feasibility of automatically clustering the articles into topics and generating both single-line summaries as well as longer summaries. In Phase II of this effort we plan to flesh out the techniques into a fully-functional system, called GeoXRay. In particular, we will develop automatic techniques to rapidly build the required geospatial knowledgebase, which allows the system to link articles to locations outside of the US. We will also improve the linking techniques to improve the recall of the document linking while maintaining the high-level of precision that we achieved in Phase I. Finally, we will improve the techniques for automatic clustering and summarization of the news articles linked to a location so that an analyst can quickly determine which articles are likely to contain relevant information.

* information listed above is at the time of submission.

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