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A Similarity Finding System under a Goal Concept

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Book cover Discovey Science (DS 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1532))

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Abstract

We often utilize taxonomic hierarchy of concepts to organize knowledge bases and to reason under them. The taxonomic hierarchy can be in itself a representation of similarities between concepts, depending on our way to define concepts. For instance, placing two concepts A and B under their super concept C means that A and B inherit and share the properties of C. Thus they are considered similar and to be defined as special kinds of C

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Author information

Authors and Affiliations

  1. Division of Electronics and Information Engineering, Hokkaido University, N-13,W-8 Kita-ku, Sapporo, 060-8628, Japan

    Makoto Haraguchi

  2. Faculty of Law, Hokkaido University, N-9,W-7 Kita-ku, Sapporo, 060-0809, Japan

    Tokuyasu Kakuta

Authors
  1. Makoto Haraguchi
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  2. Tokuyasu Kakuta
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Editor information

Editors and Affiliations

  1. Department of Informatics, Kyushu University, Fukuoka, 812-8581, USA

    Setsuo Arikawa

  2. Institute of Scientific and Industrial Research Devision of Intelligent Systems Science, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan

    Hiroshi Motoda

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© 1998 Springer-Verlag Berlin Heidelberg

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Haraguchi, M., Kakuta, T. (1998). A Similarity Finding System under a Goal Concept. In: Arikawa, S., Motoda, H. (eds) Discovey Science. DS 1998. Lecture Notes in Computer Science(), vol 1532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49292-5_38

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  • DOI: https://doi.org/10.1007/3-540-49292-5_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65390-5

  • Online ISBN: 978-3-540-49292-4

  • eBook Packages: Springer Book Archive

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