- Award Details
Web-based Intelligent Extraction of Symbology based on Contextual Information
Department of Homeland Security
Agency Tracking Number:
Solicitation Topic Code:
Small Business Information
Physical Optics Corporation
20600 Gramercy Place, Building 100, Torrance, CA, 90501-1821
Socially and Economically Disadvantaged:
Name: Wenjian Wang
Name: Gordon Drew
AbstractTo 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 archiving.
* information listed above is at the time of submission.