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

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15P7T-13-C-A801
Agency Tracking Number: A2-5124
Amount: $999,649.00
Phase: Phase II
Program: SBIR
Awards Year: 2013
Solicitation Year: 2011
Solicitation Topic Code: A11-026
Solicitation Number: 2011.1
Small Business Information
MA, Cambridge, MA, 02138-4555
DUNS: 115243701
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Terry Patten
 Principal Scientist
 (617) 491-3474
Business Contact
 Mark Felix
Title: Contracts Manager
Phone: (617) 491-3474
Research Institution
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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