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Accessing the Distributed Learner Profile in the Semantic Web

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Book cover Knowledge-Based Intelligent Information and Engineering Systems (KES 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5177))

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Abstract

Adaptive e-learning systems need to get complete learner profile to make efficient personalization. However, learner profile is dispersed over multiple heterogeneous e-learning systems. Unfortunately, these e-learning systems are heterogeneous what makes difficult to get complete learner profile. By using semantic web technology, namely Topic Maps, we show how we perform integration of heterogeneous fragments of learner profile to get more complete one. However, this technology does not consider constraints and is not able to make reasoning. So we use, together with Topic Maps, Description Logics to represent constraints and make reasoning over integrated data.

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Authors and Affiliations

  1. Centre de Recherche en Informatique de Paris 5, Université Paris Descartes, Paris, France

    Mourad Ouziri

Authors
  1. Mourad Ouziri
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Editor information

Ignac Lovrek Robert J. Howlett Lakhmi C. Jain

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© 2008 Springer-Verlag Berlin Heidelberg

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Ouziri, M. (2008). Accessing the Distributed Learner Profile in the Semantic Web. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85563-7_60

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  • DOI: https://doi.org/10.1007/978-3-540-85563-7_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85562-0

  • Online ISBN: 978-3-540-85563-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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