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Mining the Semantic Web: A Logic-Based Methodology

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Foundations of Intelligent Systems (ISMIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3488))

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Abstract

This paper deals with mining the logical layer of the Semantic Web. Our approach adopts the hybrid system \(\mathcal{AL}\)-log as a knowledge representation and reasoning framework and Inductive Logic Programming as a methodological apparatus. We illustrate the approach by means of examples taken from a case study of frequent pattern discovery in data of the on-line CIA World Fact Book.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, University of Bari, Italy

    Francesca A. Lisi & Floriana Esposito

Authors
  1. Francesca A. Lisi
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  2. Floriana Esposito
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Editor information

Editors and Affiliations

  1. LIRIS - UFR d’Informatique, Université Claude Bernard Lyon 1, 43, boulevard du 11 novembre 1918, 69622, Villeurbanne, France

    Mohand-Said Hacid

  2. Department of Computer Science, State University of New York, 12222, Albany, NY, USA

    Neil V. Murray

  3. Department of Computer Science, University of North Carolina, 28223, Charlotte, NC, USA

    Zbigniew W. Raś

  4. Shimane University, 89-1 Enya-cho Izumo, 6938501, Shimane, Japan

    Shusaku Tsumoto

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© 2005 Springer-Verlag Berlin Heidelberg

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Lisi, F.A., Esposito, F. (2005). Mining the Semantic Web: A Logic-Based Methodology. In: Hacid, MS., Murray, N.V., Raś, Z.W., Tsumoto, S. (eds) Foundations of Intelligent Systems. ISMIS 2005. Lecture Notes in Computer Science(), vol 3488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11425274_11

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  • DOI: https://doi.org/10.1007/11425274_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25878-0

  • Online ISBN: 978-3-540-31949-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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