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Metadata Generation

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-04-C-0128
Agency Tracking Number: F041-097-0736
Amount: $99,456.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF04-097
Solicitation Number: 2004.1
Solicitation Year: 2004
Award Year: 2004
Award Start Date (Proposal Award Date): 2004-04-26
Award End Date (Contract End Date): 2005-01-26
Small Business Information
44 Belchertown Road
Amherst, MA 01002
United States
DUNS: 808740000
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Paul McOwen
 President and CEO
 (413) 253-7430
Business Contact
 Suzette Durand
Title: Manager, Finance and Administration
Phone: (413) 253-7430
Research Institution

Chiliad proposes a research effort to enhance and extend its advanced software for analysis, metadata generation, dynamic knowledge discovery, real-time situation awareness, instant alerts, and task-specific collaboration from de-centralized information sources and servers distributed across an enterprise or multiple organizations. The further development and scaling of this technology will enable automatic indexing and tagging of text and multimedia intelligence documents for ease of retrieval, context sensitive summarization, and global awareness of Homeland Security information. Chiliad's recent developments with one of these agencies is pushing the technology envelope for text based analysis using concept recognition and association, Metadata generation, and correlation with structured data in a relational database, deployed to an analyst community in an operational system that is in use daily for national security applications. Specific enhancements are designed for dynamic analysis and real-time filtering across distributed repositories located on multiple decentralized host machines. These dynamic and real-time techniques are adaptive and discerning, provide capabilities for instant alerts and immediate response. Specific enhancements are targeted to further scalability testing and tuning and further refinement of techniques to merging search and analysis results effectively by relevance across distributed collections.

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

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