CASHNET: Conceptual and Social Human Networks Evolving in Time

Award Information
Agency:
Department of Defense
Branch:
Army
Amount:
$100,000.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
W911QX-11-C-0069
Agency Tracking Number:
O102-L01-2182
Solicitation Year:
2010
Solicitation Topic Code:
OSD10-L01
Solicitation Number:
2010.2
Small Business Information
Aptima, Inc.
12 Gill Street, Suite 1400, Woburn, MA, -
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator
 Andrew Duchon
 Lead Scientist
 (781) 496-2490
 aduchon@aptima.com
Business Contact
 Thomas McKenna
Title: Chief Financial Officer
Phone: (781) 496-2443
Email: mckenna@aptima.com
Research Institution
 Stub
Abstract
The focus of the military has shifted to much more complex missions, stressing counter-insurgency (COIN), and Stability, Security, Transition, and Reconstruction (SSTR) operations, and Humanitarian Aid/Disaster Relief (HADR). The accompanying intelligence apparatus must therefore be able to answer fundamental questions about the people we are trying to protect and persuade which requires knowledge about these environments and relationships, which may be buried in a vast amount of textual information. Building on Aptima"s existing language processing capabilities, a new tool, CASHNET (Conceptual and Social Human Networks Evolving in Time) will extract novel relationships between entities and concepts from text data. Rather than simply relying on standard entity extraction technology that captures only well-defined relationships between people, CASHNET will examine conceptual links to identify entities that may have similar preferences, attitudes, or needs, as well as relationships between people, concepts, and locations. This will allow for a broader construction of conceptual and social networks that can uncover linkages that would be missed by technologies that assume physical or structured interactions between entities. CASHNET will also display these relationships visually and be able to forecast how they might evolve over time.

* information listed above is at the time of submission.

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