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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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Concept-Base / Degree of Association / Attributes Weighting |
Paper # | AI2007-52 |
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Committee | AI |
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Conference Date | 2008/2/27(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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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 |
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