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Concept Mining with Self-Organizing Maps for the Semantic Web

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Advances in Self-Organizing Maps (WSOM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5629))

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Abstract

In this paper, we discuss problems related to the basic Semantic Web methodologies that are based on predicate logic and related formalisms. We discuss complementary and alternative approaches. In particular, we suggest how the Self-Organizing Map can be a basis for making the Semantic Web more semantic.

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Author information

Authors and Affiliations

  1. Department of Information and Computer Science Adaptive Informatics Research Centre, Helsinki University of Technology, P.O. Box 5400, FI-02015, TKK, Finland

    Timo Honkela & Matti Pöllä

Authors
  1. Timo Honkela
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  2. Matti Pöllä
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Editor information

Editors and Affiliations

  1. Computational NeuroEngineering Laboratory, University of Florida,, Gainesville, FL, USA

    José C. Príncipe

  2. Department of Computer Sciences, The University of Texas at Austin, Austin, TX, USA

    Risto Miikkulainen

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© 2009 Springer-Verlag Berlin Heidelberg

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Honkela, T., Pöllä, M. (2009). Concept Mining with Self-Organizing Maps for the Semantic Web. In: Príncipe, J.C., Miikkulainen, R. (eds) Advances in Self-Organizing Maps. WSOM 2009. Lecture Notes in Computer Science, vol 5629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02397-2_12

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  • DOI: https://doi.org/10.1007/978-3-642-02397-2_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02396-5

  • Online ISBN: 978-3-642-02397-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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