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Web-based Intelligent Extraction of Symbology based on Contextual Information

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: D11PC20255
Agency Tracking Number: DHS SBIR-2011.2-H-SB011.2-006-0020-I
Amount: $99,978.68
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): 2011-09-15
Award End Date (Contract End Date): 2012-04-30
Small Business Information
20600 Gramercy Place, Building 100
Torrance, CA 90501-1821
United States
DUNS: 153865951
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Wenjian Wang
Business Contact
 Gordon Drew
Research Institution

To address the DHS need for intelligent symbology technologies, Physical Optics Corporation (POC) proposes to develop new Web-based Intelligent
Symbology Extraction based on Context (WISEC) incorporating intelligent text stream processing (ITSP), an entity-attribute-value (EVA) model, and
progressive automatic creation of symbology (PACS). The WISEC will offer intelligent symbology generation, updating, and management that interact
with structured or unstructured data sources, identify keywords and named entities, generate or update appropriate symbols, coreference
activities/incidents, store them in a central database with no downtime, and provide information relevant to the interest and mission of the end user. In
Phase I, we will demonstrate the feasibility of the WISEC by developing its architecture and components and integrating them into a prototype for
testing and evaluation in two scenarios: intelligent symbology for crime alerts (iPAD application) and intelligent symbology for public safety alerts
(Web application). Performance metrics will be developed. At the end of Phase I, the technology readiness level (TRL) reached will be 3. In Phase II we
plan to develop a WISEC prototype, integrate it with popular browsers and geospatial applications, test it using public data sources, evaluate it using
the performance metrics developed, 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 data representation that is sharable among various
communities. Commercial applications for this technology include business intelligence, text analytics, and enterprise content management and

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

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