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A Formal Model of Learning Object Metadata

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Innovative Approaches for Learning and Knowledge Sharing (EC-TEL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4227))

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Abstract

In this paper, we introduce a new, formal model of learning object metadata. The model enables more formal, rigorous reasoning over metadata. An important feature of the model is that it allows for ’fuzzy’ metadata, that have an associated confidence value. Another important aspect is that we explicitly address context dependent metadata.

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Author information

Authors and Affiliations

  1. Katholieke Universiteit Leuven, Belgium

    Kris Cardinaels, Erik Duval & Henk Olivié

Authors
  1. Kris Cardinaels
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  2. Erik Duval
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  3. Henk Olivié
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Editor information

Editors and Affiliations

  1. L3S Research Center, Leibniz Universität Hannover, Appelstrasse 9a, 30167, Hannover, Germany

    Wolfgang Nejdl

  2. Knowledge Management Institute, Graz University of Technology, Inffeldgasse 21a/II, P.O. Box, 8010, Graz, Austria

    Klaus Tochtermann

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© 2006 Springer-Verlag Berlin Heidelberg

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Cardinaels, K., Duval, E., Olivié, H. (2006). A Formal Model of Learning Object Metadata. In: Nejdl, W., Tochtermann, K. (eds) Innovative Approaches for Learning and Knowledge Sharing. EC-TEL 2006. Lecture Notes in Computer Science, vol 4227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11876663_8

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  • DOI: https://doi.org/10.1007/11876663_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45777-0

  • Online ISBN: 978-3-540-46234-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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