STAR: Semantic Temporal Association Retrieval

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-07-M-0073
Agency Tracking Number: N062-153-0658
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2006
Solicitation Year: 2006
Solicitation Topic Code: N06-153
Solicitation Number: 2006.2
Small Business Information
12 Gill Street, Suite 1400, Woburn, MA, 01801
DUNS: 967259946
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Andrew Duchon
 Cognitive Psychologist
 (781) 496-2490
 aduchon@aptima.com
Business Contact
 Margaret Clancy
Title: Chief Financial Officer
Phone: (781) 496-2415
Email: clancy@aptima.com
Research Institution
N/A
Abstract
Intelligence analysts gather and synthesize information from multiple sources in response to both high priority requests and standing topics. Their expertise enables them to evaluate and process information effectively, but they spend too much time searching for relevant information. As ops tempo increases, information overload will only increase. The STAR (Semantic Temporal Association Retrieval) system will support information triage and synthesis and enable analysts to allocate more time to evaluation and genuine analysis. STAR will systematically compare traditional Latent Semantic Analysis and two of its emerging alternatives – Probabilistic Latent Semantic Analysis and Latent Dirichlet Allocation – structured around meaningful analyst tasks. We will also combine topic and time-course models to create a tool that automatically compares recent and historical patterns, enhancing triage and increasing the predictive power of intelligence analysis. Both systematic comparison of statistical language processing methods and incorporation of an explicit temporal component are innovations.

* Information listed above is at the time of submission. *

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