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Accession number;99A0263657
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| Title;Measuring Semantic Similarity Model between Concepts for Intelligent Mechanism. |
| Author;
IRIE TAKESHI
(Doshisha Univ., Fac. of Eng.)
WATABE HIROKAZU
(Doshisha Univ., Fac. of Eng.)
KAWAOKA TSUKASA
(Doshisha Univ., Fac. of Eng.)
MATSUZAWA KAZUMITSU
(Nippon Telegr. and Teleph. Corp.)
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Journal Title;IEIC Technical Report (Institute of Electronics, Information and Communication Engineers)
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Journal Code:S0532B
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ISSN:0913-5685
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VOL.98;NO.499(AI98 68-75);PAGE.47-54(1999)
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| Figure&Table&Reference;FIG.3, TBL.4, REF.12 |
| Pub. Country;Japan |
| Language;Japanese |
| Abstract;The basic factor of information processing systems which have friendly user interfaces is a intelligent mechanism, and the main elements of that are the concept-base and the association mechanism using similarity between concepts in the concept-base. A structure of the concept-base must be simple since the concept-base can be maintained easily. This paper proposes measuring semantic similarity model between concepts based on such a conditions of the concept-base. The feature of proposed model is not that the degree of similarity evaluates by difference of first stage attributes vector but the degree of similarity evaluates by set of second stage attributes as semantic points. By experimental results using the concept-base which consists of about 40,000 concepts, it is shown that the proposed model can output the closer degree of similarity to that decided by human judges. (author abst.) |
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