Presentation 2010-05-21
A User Agent for Finding Unknown Associations
Takuya HAGIMURA, Kazuhiro SEKI, Kuniaki UEHARA,
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Abstract(in English) In the biomedical domain, a number of researchers have conducted research to find potential relationships (hypotheses). This framework could be applied to other domains, which, if viable, can be a support to creative thinking by helping human conception and cogitation. In this paper, we discuss the idea of the "User Agent for Finding Unknown Associations", which is an information retrieval system equipped with functions to generate and rank syllogistic hypotheses.
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Keyword(in English) User agent / Hypotheses / Semantic distance / Concept network
Paper # LOIS2010-9
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Conference Date 2010/5/13(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A User Agent for Finding Unknown Associations
Sub Title (in English)
Keyword(1) User agent
Keyword(2) Hypotheses
Keyword(3) Semantic distance
Keyword(4) Concept network
1st Author's Name Takuya HAGIMURA
1st Author's Affiliation Graduate School of System Informatics, Kobe University()
2nd Author's Name Kazuhiro SEKI
2nd Author's Affiliation Organization of Advanced Science and Technology, Kobe University
3rd Author's Name Kuniaki UEHARA
3rd Author's Affiliation Graduate School of System Informatics, Kobe University
Date 2010-05-21
Paper # LOIS2010-9
Volume (vol) vol.110
Number (no) 42
Page pp.pp.-
#Pages 5
Date of Issue