SBIR/STTR Research Award

Intelligent Assistant For Just Enough Data Sharing Across Multiple Security Domains

Award identifier bdcead120c2fc7770f9d6d6edd3b5dc5f7b9ad626bf0c38f4a3b7272d08e2be1Awarding agency Department of Defense · Air Force

Award amount

$749,907

Program and phase

SBIR · Phase II

Award year

2007

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
ENKIA CORP.
Proposal award date
2007-06-18
Contract end date
2009-06-18
UEI
Not reported
Solicitation number
2005.3
Topic code
OSD05-NC2

Research abstract

The ability to identify and share information in a "just enough" manner is critical in defense, intelligence, and industry settings. Human analysts in both government and private sectors are overwhelmed by the sheer volume of data, compounded by the increasing complexity of information sharing policies. Unlike companies that provide infrastructure and platforms for information sharing, such as guards and servers, Enkia will provide software to analyze the content of what is being shared across such platforms. Using advanced artificial intelligence technologies, Enkia will be the first to offer adaptive products that can learn to identify sensitive and critical information without extensive hand-coding of information sharing policies. Our key insight is to leverage the same sheer volume of data that is overwhelming human analysts and use it to feed a data-hungry AI engine capable of learning from that data. Our technologies include natural language processing to analyze semantic content, case-based reasoning for document classification, and relevance feedback for automatic self-learning. This innovative combination of technologies will be deployed through a state-of-the-art service-oriented architecture, enabling usage via desktop plug-ins, server-based filters, and web service applications.

Technology keywords

Not reported

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Agency intelligence

Department of Defense

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