Natural Language Processing and Prioritization for Contextual Symbolic Rendering

Award Information
Agency:
Department of Homeland Security
Branch
n/a
Amount:
$98,804.10
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
D11PC20256
Agency Tracking Number:
DHS SBIR-2011.2-H-SB011.2-006-0027-I
Solicitation Year:
2011
Solicitation Topic Code:
H-SB011.2-006
Solicitation Number:
n/a
Small Business Information
Digital Sandbox Inc.
8260 Greensboro Drive, Suite 450, McLean, VA, 22102-4901
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
71178235
Principal Investigator:
Michael Sherman
msherman@dsbox.com
Business Contact:
Greg Sloan
gsloan@dsbox.com
Research Institution:
n/a
Abstract
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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