STRIDER: Semantic Targeting of Relevant Individuals, Dispositions, Events, and Relations

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-13-P-1131
Agency Tracking Number: O123-LD8-4073
Amount: $149,747.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solicitation Year: 2012
Solicitation Topic Code: OSD12-LD8
Solicitation Number: 2012.3
Small Business Information
211 N 1st St., Suite 300, Minneapolis, MN, -
DUNS: 103477993
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Mark Burstein
 Principal Research Scientist
 (781) 799-3603
 burstein@sift.net
Business Contact
 Harry Funk
Title: Vice President of Research and Dev.
Phone: (612) 339-7438
Email: hfunk@sift.net
Research Institution
N/A
Abstract
The proposed STRIDER (Semantic Targeting of Relevant Individuals, Dispositions, Events, and Relations) technology combines an open source semantic parser with task-specific knowledge structures and diagram-based user interfaces to automatically extract, display, and record mission-relevant information for intelligence analysts. The approach works by (1) gathering details about the analyst's objectives using a link diagram interface, (2) performing semantic analysis to extract objective-relevant information from a large corpus, and (3) displaying and recording the extracted information for the analyst. STRIDER integrates with existing link diagram products to consume and enrich the information the analyst has gathered and recorded through other means. This ultimately reduces the time and cognitive load of finding, analyzing, and recording information for intelligence analysis problems. STRIDER is semi-automatic information extraction technology that is guided by the user's objectives and the user's attention.

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

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