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RDF Entity and Association Disambiguation (READ)

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
Program Year/Program:
2012 / SBIR
Agency Tracking Number:
N102-176-0451
Solicitation Year:
2010
Solicitation Topic Code:
N102-176
Solicitation Number:
2010.2
Small Business Information
DECISIVE ANALYTICS Corporation
1400 Crystal Drive Suite 1400 Arlington, VA 22202-3231
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2012
Title: RDF Entity and Association Disambiguation (READ)
Agency / Branch: DOD / NAVY
Contract: N00014-12-C-0096
Award Amount: $1,240,228.00
 

Abstract:

To keep abreast of groups and individuals operating in a particular area, US forces gather vast amounts of intelligence. Extracted from this sea of information are the entities that exist in the data. We have made great leaps in entity extraction technology. The next challenge is to overcome entity ambiguity that remains at the end of this processing pipeline. These entities are typically stored as connected graphs in the Resource Description Framework (RDF). Because of ambiguities associated with entities, these data stores become filled with redundant statements, preventing Warfighters from finding everything known about specific entities rapidly and accurately. To address this requirement, DAC is partnering with Cobham (formerly SPARTA) to bring together best-of-breed technologies for entity disambiguation and conflict resolution. READ provides Entity and Relationship Co-Reference Resolution, RDF Conflict Identification and Resolution, and improved RDF Schema for Context Storage. These capabilities will provide intelligence analysts the necessary tools to rapidly and accurately obtain all of the necessary information about specific entities. In particular, the READ system will utilize logic-based probabilistic models to allow for the analysis and exploitation of large scale data stores consisting of static, dynamic, continuous, and discrete attributes.

Principal Investigator:

Jonathan Day
Senior Engineer
(703) 414-5015
jonathan.day@dac.us

Business Contact:

Kelly McClelland
VP, Administration
(703) 414-5024
kelly.mcclelland@dac.us
Small Business Information at Submission:

DECISIVE ANALYTICS Corporation
1235 South Clark Street Suite 400 Arlington, VA -

EIN/Tax ID: 541785147
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No