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Clustering OWL Documents Based on Semantic Analysis

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Advances in Web-Age Information Management (WAIM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3739))

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Abstract

Clustering OWL documents on the WWW or the Semantic Web is an important task in domain of ontology research and WI research. This paper analyzes semantic of OWL documents and proposes a method for computing semantic similarity between OWL documents. The method considers inheritance of objects and representation of complex classes. It can be used in clustering OWL documents built by experts and OWL documents learned by automatic tools.

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Author information

Authors and Affiliations

  1. Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, Beijing University of Technology, 100022, Beijing

    Mingxia Gao & Chunnian Liu

  2. R&D Center TravelSky Technology Limited,  

    Furong Chen

Authors
  1. Mingxia Gao
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  2. Chunnian Liu
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  3. Furong Chen
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Editor information

Editors and Affiliations

  1. University of Edinburgh & Bell Laboratories,  

    Wenfei Fan

  2. College of Computer Science, Zhejiang University, 310027, Hangzhou, Zhejiang, China

    Zhaohui Wu

  3. Dept. of E. I. E, Huazhong University of Science and Technology, Wuhan, China

    Jun Yang

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© 2005 Springer-Verlag Berlin Heidelberg

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Gao, M., Liu, C., Chen, F. (2005). Clustering OWL Documents Based on Semantic Analysis. In: Fan, W., Wu, Z., Yang, J. (eds) Advances in Web-Age Information Management. WAIM 2005. Lecture Notes in Computer Science, vol 3739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11563952_17

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  • DOI: https://doi.org/10.1007/11563952_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29227-2

  • Online ISBN: 978-3-540-32087-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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