You are here

Open Source Information Geospatial Overlay (OSIGO)

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-09-C-0313
Agency Tracking Number: 07ST1-0037
Amount: $749,857.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: ST071-005
Solicitation Number: 2007.
Solicitation Year: 2007
Award Year: 2009
Award Start Date (Proposal Award Date): 2009-09-29
Award End Date (Contract End Date): 2011-12-31
Small Business Information
841 Apollo Street, Suite 400
El Segundo, CA 90245-
United States
DUNS: 175898175
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jason Chen
 Director of R&D
 (310) 414-9849
Business Contact
 Scott Battenburg
Title: CFO
Phone: (310) 414-9849
Research Institution
 University of Southern California
 Elizabeth H Hisserich
Dept. of Contracts&Grants 837 West Downey Way, Room 306
Los Angeles, CA 90089-
United States

 (213) 821-1106
 Nonprofit College or University

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. *

US Flag An Official Website of the United States Government