Analogy, intelligent IR, and knowledge integration for intelligence analysis

Lawrence A Birnbaum; Kenneth D Forbus; Earl Wagner; James Baker; Michael Witbrock

Analogy, intelligent IR, and knowledge integration for intelligence analysis

Lawrence A Birnbaum^*, Kenneth D Forbus, Earl Wagner, James Baker, Michael Witbrock

^*Corresponding author for this work

Computer Science

Research output: Contribution to conference › Paper › peer-review

Abstract

Our project is aimed at integrating and extending inferential, analogical, and intelligent IR technologies to create power tools for intelligence analysts. Our goal is to discover interesting and powerful functional integrations that permit these technologies to exploit each others' strengths to mitigate their weaknesses. From the perspective of knowledge-based AI technology, a key goal of the project is to extend the reach of such systems into the world of unstructured data and text. From the perspective of IR technology, it is to leverage the application of inferential and analogical techniques to structured representations in order to achieve significant new functionality.

Original language	English (US)
Pages	32-37
Number of pages	6
State	Published - 2005
Event	2005 AAAI Spring Symposium - Stanford, CA, United States Duration: Mar 21 2005 → Mar 23 2005

Other

Other	2005 AAAI Spring Symposium
Country/Territory	United States
City	Stanford, CA
Period	3/21/05 → 3/23/05

ASJC Scopus subject areas

Engineering(all)

Cite this

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AU - Forbus, Kenneth D

AU - Wagner, Earl

AU - Baker, James

AU - Witbrock, Michael

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N2 - Our project is aimed at integrating and extending inferential, analogical, and intelligent IR technologies to create power tools for intelligence analysts. Our goal is to discover interesting and powerful functional integrations that permit these technologies to exploit each others' strengths to mitigate their weaknesses. From the perspective of knowledge-based AI technology, a key goal of the project is to extend the reach of such systems into the world of unstructured data and text. From the perspective of IR technology, it is to leverage the application of inferential and analogical techniques to structured representations in order to achieve significant new functionality.

AB - Our project is aimed at integrating and extending inferential, analogical, and intelligent IR technologies to create power tools for intelligence analysts. Our goal is to discover interesting and powerful functional integrations that permit these technologies to exploit each others' strengths to mitigate their weaknesses. From the perspective of knowledge-based AI technology, a key goal of the project is to extend the reach of such systems into the world of unstructured data and text. From the perspective of IR technology, it is to leverage the application of inferential and analogical techniques to structured representations in order to achieve significant new functionality.

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ER -

Analogy, intelligent IR, and knowledge integration for intelligence analysis

Abstract

Other

ASJC Scopus subject areas

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