Web-based Intelligent Extraction of Symbology based on Contextual Information

Award Information
Agency:
Department of Homeland Security
Amount:
$749,957.00
Program:
SBIR
Contract:
D12PC00475
Solitcitation Year:
2011
Solicitation Number:
DHS SBIR-2011.2
Branch:
N/A
Award Year:
2012
Phase:
Phase II
Agency Tracking Number:
DHS SBIR-2011.2-H-SB011.2-006-0020-II
Solicitation Topic Code:
H-SB011.2-006
Small Business Information
Physical Optics Corporation
1845 West 205th Street, Torrance, CA, 90501-1510
Hubzone Owned:
N
Woman Owned:
Y
Socially and Economically Disadvantaged:
N
Duns:
153865951
Principal Investigator
 Wenjian Wang
 (310) 320-3088
 ITProposals@poc.com
Business Contact
 Gordon Drew
Title: Chief Financial Officer
Phone: (310) 320-3088
Email: gedrew@poc.com
Research Institution
N/A
Abstract
To address the DHS need for intelligent symbology technologies, Physical Optics Corporation (POC) proposes to continue the development of Web-based Intelligent Symbology Extraction based on Context (WISEC), a unique enterprise symbology system that integrates state-of-the-art natural language processing (NLP) tools with our syntactic event attribute extraction and contextual event coreference algorithms. In Phase I, we demonstrated the feasibility and maturity of WISEC by developing its design and software prototype for incident management and crime information sharing applications, with mature functionalities (automatic symbol generation using open-source unstructured data, association of events from multiple sources, dynamic event status update, and platform-independent user interfaces for review and information "drill down"). In Phase II we will extend this software prototype in functionality, performance, and maintenance into a mature enterprise software system, test it with both DHS and local users, evaluate its performance in classification, coreference, and scalability, and deliver it to the DHS. The successful completion of this project at the end of Phase III will benefit the nation in both government and commercial sectors by providing intelligent symbology with standard representation that is sharable among various communities. Commercial applications for this technology include business intelligence, text analytics, and enterprise content management and archiving.

* information listed above is at the time of submission.

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