SBIR/STTR Research Award

Advisable Web Assistant for Extraction of Time-Critical Information

Award identifier d13b2f51008650cad4ea60e581df23a4ea0913388fdf1bb3707103c954eec895Awarding agency Department of Defense · Defense Advanced Research Projects Agency

Award amount

$99,000

Program and phase

SBIR · Phase I

Award year

2004

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Award details

Awarding agency
Department of Defense
Branch
Defense Advanced Research Projects Agency
Recipient company
Fetch Technologies
Proposal award date
2004-01-31
Contract end date
2004-09-28
UEI
NNRCHKCQDRA9
Solicitation number
2003.2
Topic code
SB032-037

Research abstract

We will develop an advisable, self-learning "assistant" capable of monitoring, extracting and assessing data from multiple heterogeneous sources. The system, called InTIME (Intelligent Trainable Information Monitoring and Extraction system) will be built on top of the Fetch Agent Platform, a commercial system for building and executing software agents that extract and integrate data from Web sites. Through the use of machine learning, users can train the system to extract data from Web sites "by example." We plan to extend our existing machine learning approach so that a user can train the system to learn what information is valuable, why it is valuable, and how and when to notify the user when new information is available.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

35 SBIR/STTR records share this UEI (2000–2011). Reported award amounts total $11,047,032. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Science Foundation, National Aeronautics and Space Administration, Department of Energy

Agency intelligence

Department of Defense

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