| Presentation | 2005-01-17 A method to measure for the reduction of numbers of attributes of suspected concepts made newly by ambiguity resolution of Concept-Base Munehiro TERADA, Hirokazu WATABE, Tsukasa KAWAOKA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Concept-Base is one of bases of associative function constructed mechanically from dictionaries or newspapers. In Concept-Base, about 90, 000 concepts is registered, each concept is defined by a set of a pair of attribute and weight. The depth of association between concepts is expressed quantitatively from Concept-Base and the algorithm to calculate the degree of association. But the present Concept-Base is not considered about ambiguity, therefore the case that the degree of association can't be calculated exactly arises. So in this paper, we propose a method to construct Knowledge Base of Polysemous Word storing the meaning information of concepts with the meaning analytical information of a Japanese dictionary, and solve the ambiguity of Concept-Base by replacing a polysemous concept with a concept of one meaning referring to it. Moreover, numbers of attributes of suspected concepts made newly by division of polysemous concepts for Concept-Base constructed by this method reduce greatly, the measure for this problem is demanded. In this paper, we also propose a method to add and refine attributes automatically for suspected concepts. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | associative function / Concept-Base / degree of association / ambiguity resolution / Knowledge Base of Polysemous Word / suspected concept |
| Paper # | AI2004-63 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2005/1/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | A method to measure for the reduction of numbers of attributes of suspected concepts made newly by ambiguity resolution of Concept-Base |
| Sub Title (in English) | |
| Keyword(1) | associative function |
| Keyword(2) | Concept-Base |
| Keyword(3) | degree of association |
| Keyword(4) | ambiguity resolution |
| Keyword(5) | Knowledge Base of Polysemous Word |
| Keyword(6) | suspected concept |
| 1st Author's Name | Munehiro TERADA |
| 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 | 2005-01-17 |
| Paper # | AI2004-63 |
| Volume (vol) | vol.104 |
| Number (no) | 548 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |