An association method using concept-base

Authors:
Noriyuki Okumura;Eriko Yoshimura;Hirokazu Watabe;Tsukasa Kawaoka
Affiliations:
Dept. of Knowledge Engineering & Computer Sciences, Graduate School of Engineering, Doshisha University, Kyoto, Japan;Dept. of Knowledge Engineering & Computer Sciences, Graduate School of Engineering, Doshisha University, Kyoto, Japan;Dept. of Knowledge Engineering & Computer Sciences, Graduate School of Engineering, Doshisha University, Kyoto, Japan;Dept. of Knowledge Engineering & Computer Sciences, Graduate School of Engineering, Doshisha University, Kyoto, Japan
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Year:
2007

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Abstract

This paper proposes an association method using Concept-base. Concept-base is a large-scale relational database constructed by some electronic dictionaries and some newspapers. Each concept which is defined in Concept-base has attributes which characterize the concept and weights which show each attribute's importance. Concept-base enables to calculate the depth of relationship (Degree of Association) of two any concepts using attributes and weights. This paper proposes One Word Association Method which associates one word (concept) with some relative words (concepts). Also, a threshold of Degree of Association is defined using the evaluation result of One Word Association Method. Finally, Two Words Association Method is proposed based on the threshold of Degree of Association.