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Learning Knowledge Rich User Models from the Semantic Web

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User Modeling 2003 (UM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2702))

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Abstract

The SemanticWeb [2] is a vision in which today’sWeb will be extended with machine readable content, and where every resource will be marked-up using machine readable metadata. The intention is that documents on the SemanticWeb will convey real meaning by using structured data-formats and by referring to common ontologies.

The work described is supervised by Dr P. Edwards and Dr A. Preece, both of the Department of Computing Science.

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Author information

Authors and Affiliations

  1. Dept. of Computing Science, University of Aberdeen, Aberdeen, AB24 5UE, Scotland

    Gunnar Astrand Grimnes

Authors
  1. Gunnar Astrand Grimnes
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Editor information

Editors and Affiliations

  1. School of Information Sciences, Department of Information Science and Telecommunications, University of Pittsburgh, 135 North Bellefield Avenue, Pittsburgh, PA, 15260, USA

    Peter Brusilovsky

  2. Human Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Albert Corbett

  3. Intelligent Interfaces, Department of Informatics, University of Bari, Via Orabona 4, 70126, Bari, Italy

    Fiorella de Rosis

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© 2003 Springer-Verlag Berlin Heidelberg

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Grimnes, G.A. (2003). Learning Knowledge Rich User Models from the Semantic Web. In: Brusilovsky, P., Corbett, A., de Rosis, F. (eds) User Modeling 2003. UM 2003. Lecture Notes in Computer Science(), vol 2702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44963-9_60

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  • DOI: https://doi.org/10.1007/3-540-44963-9_60

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40381-4

  • Online ISBN: 978-3-540-44963-8

  • eBook Packages: Springer Book Archive

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