Presentation 2008-03-06
Generalization of Attributes Weighting Method in Construction of Large Scale Concept-Base for Association
Shinya KITAGAWA, Hirokazu WATABE, Tsukasa KAWAOKA,
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Abstract(in English) An aim of this study is to perform smooth conversation between human and computer by association mechanism. The main components of this mechanism are Concept-base and calculation method of Degree of Association. Concept-base is a knowledge base which is defined by sets of attributes with weights as "the concept" of the word. The current attributes weighting method is poorly-reproducible because it includes the visual evaluation. For this reason, this study proposes for generalization of the reproducible attributes weighting method of a Concept-base.
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Keyword(in English) Concept-Base / Degree of Association / Attributes Weighting
Paper # AI2007-52
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Committee AI
Conference Date 2008/2/27(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Generalization of Attributes Weighting Method in Construction of Large Scale Concept-Base for Association
Sub Title (in English)
Keyword(1) Concept-Base
Keyword(2) Degree of Association
Keyword(3) Attributes Weighting
1st Author's Name Shinya KITAGAWA
1st Author's Affiliation Graduate School of Engineering, Doshisha University()
2nd Author's Name Hirokazu WATABE
2nd Author's Affiliation Graduate School of Engineering, Doshisha University
3rd Author's Name Tsukasa KAWAOKA
3rd Author's Affiliation Graduate School of Engineering, Doshisha University
Date 2008-03-06
Paper # AI2007-52
Volume (vol) vol.107
Number (no) 523
Page pp.pp.-
#Pages 6
Date of Issue