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Deep Semantic Mapping between Functional Taxonomies for Interoperable Semantic Search

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The Semantic Web (ASWC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5367))

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Abstract

This paper discusses ontology mapping between two taxonomies of functions of artifacts for the engineering knowledge management. The mapping is of two ways and has been manually established with deep semantic analysis based on a reference ontology of function for bridging the ontological gaps between the taxonomies. We report on the successful results thanks to such deep analysis not at the lexical level but at the ontological level. Using the mapping knowledge, we developed a semantic search system which can provide engineers with interoperable access to technical documents by searching for functional metadata based on either of functional taxonomies.

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Author information

Authors and Affiliations

  1. The Institute of Scientific and Industrial Research, Osaka University, 8-1, Mihogaoka, Ibaraki, Osaka, Japan

    Yoshinobu Kitamura, Sho Segawa, Munehiko Sasajima, Shinya Tarumi & Riichiro Mizoguchi

Authors
  1. Yoshinobu Kitamura
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  2. Sho Segawa
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  3. Munehiko Sasajima
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  4. Shinya Tarumi
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  5. Riichiro Mizoguchi
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Editor information

Editors and Affiliations

  1. The Open University Knowledge Media Institute, Walton Hall, MK6 7AA, Milton Keynes, United Kingdom

    John Domingue

  2. Shinawatra University 99 Moo 10 Bangtoey, Samkok, 12160, Pathum Thani, Thailand

    Chutiporn Anutariya

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© 2008 Springer-Verlag Berlin Heidelberg

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Kitamura, Y., Segawa, S., Sasajima, M., Tarumi, S., Mizoguchi, R. (2008). Deep Semantic Mapping between Functional Taxonomies for Interoperable Semantic Search. In: Domingue, J., Anutariya, C. (eds) The Semantic Web. ASWC 2008. Lecture Notes in Computer Science, vol 5367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89704-0_10

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  • DOI: https://doi.org/10.1007/978-3-540-89704-0_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89703-3

  • Online ISBN: 978-3-540-89704-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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