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A Hybrid Algorithm for Alignment of Concept Hierarchies

  • Conference paper
Engineering Knowledge in the Age of the Semantic Web (EKAW 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3257))

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Abstract

Hierarchical categorization is a powerful and convenient method so that it is commonly used in various areas, such as ontologies. Although each hierarchy is useful, there are problems to manage multiple hierarchies. In this paper, we propose an alignment method between concept hierarchies by using the similarity of the categorization and the contents of the instance. By using this method, instances that exist in one hierarchy system but does not in the other can be located in a suitable position in the other. The experimental results show improved performance compared with the previous approaches.

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References

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Author information

Authors and Affiliations

  1. National Institute of Informatics, Tokyo, 101-8430, Japan

    Ryutaro Ichise & Hideaki Takeda

  2. The Graduate University for Advanced Studies, Tokyo, 101-8430, Japan

    Ryutaro Ichise, Masahiro Hamasaki & Hideaki Takeda

Authors
  1. Ryutaro Ichise
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  2. Masahiro Hamasaki
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  3. Hideaki Takeda
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Editor information

Editors and Affiliations

  1. Knowledge Media Institute, The Open University, Milton Keynes, UK

    Enrico Motta

  2. Electronics and Computer Science, University of Southampton, UK

    Nigel R Shadbolt

  3. Knowledge Media Institute, Open University, UK

    Arthur Stutt

  4. University of Southampton, SO17 1BJ, Southampton, UK

    Nick Gibbins

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© 2004 Springer-Verlag Berlin Heidelberg

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Ichise, R., Hamasaki, M., Takeda, H. (2004). A Hybrid Algorithm for Alignment of Concept Hierarchies. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds) Engineering Knowledge in the Age of the Semantic Web. EKAW 2004. Lecture Notes in Computer Science(), vol 3257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30202-5_34

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  • DOI: https://doi.org/10.1007/978-3-540-30202-5_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23340-4

  • Online ISBN: 978-3-540-30202-5

  • eBook Packages: Springer Book Archive

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