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

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$149,747.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
N00014-13-P-1131
Agency Tracking Number:
O123-LD8-4073
Solicitation Year:
2012
Solicitation Topic Code:
OSD12-LD8
Solicitation Number:
2012.3
Small Business Information
Smart Information Flow Technologies, d/b/a SIFT
211 N 1st St., Suite 300, Minneapolis, MN, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
103477993
Principal Investigator:
Mark Burstein
Principal Research Scientist
(781) 799-3603
burstein@sift.net
Business Contact:
Harry Funk
Vice President of Research and Dev.
(612) 339-7438
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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