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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2007: Knowledge-Based Intelligent Information and Engineering Systems pp 604–611Cite as

An Association Method Using Concept-Base

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 4692)

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.

Keywords

  • Concept-base
  • Degree of Association
  • Association Method

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  • DOI: 10.1007/978-3-540-74819-9_75
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References

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Authors and Affiliations

  1. Dept. of Knowledge Engineering & Computer Sciences, Graduate School of Engineering, Doshisha University, Kyo-Tanabe, Kyoto, 610-0394, Japan

    Noriyuki Okumura, Eriko Yoshimura, Hirokazu Watabe & Tsukasa Kawaoka

Authors
  1. Noriyuki Okumura
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  2. Eriko Yoshimura
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  3. Hirokazu Watabe
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  4. Tsukasa Kawaoka
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    © 2007 Springer-Verlag Berlin Heidelberg

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    Okumura, N., Yoshimura, E., Watabe, H., Kawaoka, T. (2007). An Association Method Using Concept-Base. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_75

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    • DOI: https://doi.org/10.1007/978-3-540-74819-9_75

    • Publisher Name: Springer, Berlin, Heidelberg

    • Print ISBN: 978-3-540-74817-5

    • Online ISBN: 978-3-540-74819-9

    • eBook Packages: Computer ScienceComputer Science (R0)