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Natural Language Processing and Prioritization for Contextual Symbolic Rendering

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: D11PC20256
Agency Tracking Number: DHS SBIR-2011.2-H-SB011.2-006-0027-I
Amount: $98,804.10
Phase: Phase I
Program: SBIR
Solicitation Topic Code: H-SB011.2-006
Solicitation Number: N/A
Solicitation Year: 2011
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-09-16
Award End Date (Contract End Date): 2012-04-30
Small Business Information
8260 Greensboro Drive, Suite 450
McLean, VA 22102-4901
United States
DUNS: 71178235
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Michael Sherman
Business Contact
 Greg Sloan
Research Institution

With the desire to be prepared for possible threat scenarios, DHS has access to data, but it can be disparate with a mix of structured and unstructured
data in very large quantities. Information from a variety of sources needs to be ingested and processed in order to determine the "what, when, where,
and how bad", then presented geospatially for monitoring and analysis purposes. Constructing and maintaining a single representation of an incident
("object") which is updated over time as the details of the situation change is essential, along with the ability to prioritize the incidents being displayed
to focus attention. To address these challenges, Digital Sandbox will conduct research and demonstrate software prototypes focused on the analysis,
prioritization, and presentation of contextual symbolic information. The resulting capability will improve operational situational awareness at a
fraction of the cost and time possible with existing technology and approaches, especially for organizations tasked with public safety operations and
intelligence analysis.

* Information listed above is at the time of submission. *

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