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

Research output: Contribution to conferencePaper

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 languageEnglish (US)
Pages32-37
Number of pages6
StatePublished - Dec 1 2005
Event2005 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 21 2005Mar 23 2005

Other

Other2005 AAAI Spring Symposium
CountryUnited States
CityStanford, CA
Period3/21/053/23/05

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Birnbaum, L. A., Forbus, K. D., Wagner, E., Baker, J., & Witbrock, M. (2005). Analogy, intelligent IR, and knowledge integration for intelligence analysis. 32-37. Paper presented at 2005 AAAI Spring Symposium, Stanford, CA, United States.