SBIR/STTR Research Award

Knowledge Gathering Network for BFMIS

Award identifier 97920333528f32471d3825cfb52fc20bcc321c8a337f9c9eec349ad974a65c70Awarding agency Department of Defense · Navy

Award amount

$69,986

Program and phase

SBIR · Phase I

Award year

2003

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
QUANTUM INTELLIGENCE INC
Proposal award date
Not reported
Contract end date
Not reported
UEI
NGNSWEBTE5V5
Solicitation number
Not reported
Topic code
Not reported

Research abstract

The objective of this project is to develop and apply Quantum Intelligence System (QIS) and demonstrate its technical innovation and explore its commercial applications for Intelligent Knowledge Gathering for BFIMS. QIS integrates a collection of advancedknowledge discovery and optimization technologies. QIS first employs the best practices in database and data warehousing area to gather and integrate diversified knowledge resources, and then employs innovative data/text mining techniques to discover thesignatures of historical knowledge application scenarios and identify the process and critical factors of knowledge acquisition and dissemination of using interoperable components of Battle Force Interoperability Management System (BFIMS). A success ofthis technology will greatly enhance the capability and overall performance of systematic intelligent knowledge gathering and application through interoperable networks. QIS integrates a collection of knowledge discovery algorithms into a single unifiedframework that can handle data and text information simultaneously. QIS is an innovative knowledge gathering, discovery and application framework that fits especially well for the needs of this project:¿ Learning: QIS is an adaptive and learning framework to discover patterns, rules and signatures from historical knowledge application scenarios. The knowledge can be represented as a collection of rules, patterns or mathematical models.¿ Evaluation: The system systematically and periodically evaluates the up-to-date performance of a sequence of knowledge application decisions to achieve the best overall performance.¿ Optimize: The system is iteratively to apply knowledge to future scenarios. During the application, it searches for the best possible solutions in real-time. It goes through a large number of

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

8 SBIR/STTR records share this UEI (2002–2007). Reported award amounts total $2,499,660. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Science Foundation

Agency intelligence

Department of Defense

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