Data Integrity and Consistency through a Formal Logical Integrity Constraints Toolset (DICONFLICT)

Award Information
Agency:
Department of Defense
Amount:
$999,649.00
Program:
SBIR
Contract:
W15P7T-13-C-A801
Solitcitation Year:
2011
Solicitation Number:
2011.1
Branch:
Army
Award Year:
2013
Phase:
Phase II
Agency Tracking Number:
A2-5124
Solicitation Topic Code:
A11-026
Small Business Information
Charles River Analytics Inc.
MA, Cambridge, MA, 02138-4555
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
115243701
Principal Investigator
 Terry Patten
 Principal Scientist
 (617) 491-3474
 tpatten@cra.com
Business Contact
 Mark Felix
Title: Contracts Manager
Phone: (617) 491-3474
Email: mfelix@cra.com
Research Institution
 Stub
Abstract
The US Army has invested heavily in systems, such as Distributed Common Ground System-Army (DCGS-A), that provide intelligence analysts with a wealth of information originating from a wide variety of sources and sensors. As the number of sources and sensors grows, however, so does the potential for duplication and contradiction, which can slow intelligence analysis or lead to intelligence failures. We propose to develop a toolset to help analysts quickly detect and repair data integrity problems in intelligence data. The proposed research offers both a practical solution to achieving data integrity in vast amounts of intelligence data and a solid theoretical basis for future work.

* information listed above is at the time of submission.

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