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Improving the Search for Learning Objects with Keywords and Ontologies

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Abstract

We report on an ongoing project which aims at improving the effectiveness of retrieval and accessibility of learning object within learning management systems and learning object repositories. The projectLanguage Technology for eLearning approaches this task by providing Language Technology based functionalities and by integrating semantic knowledge through domain-specific ontologies. We will report about the development of a keyword extractor and a domain-specific ontology, the integration of these modules into the learning management system ILIAS and the validation of these tools which assesses their added value in the scenario of searching learning objects across different languages.

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Author information

Authors and Affiliations

  1. Seminar für Sprachwissenchaft, Universität Tübingen, Germany

    Lothar Lemnitzer

  2. Natural Language Systems Divison, Institute or Informatics, University Hamburg, Germany

    Cristina Vertan

  3. Center for Security Studies, ETH Zürich, Switzerland

    Alex Killing

  4. LML, IPP, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Kiril Simov

  5. The Open University, Milton Keynes, UK

    Diane Evans

  6. University of Iasi, Romania

    Dan Cristea

  7. Utrecht University, Uil-OTS, Utrecht, The Netherlands

    Paola Monachesi

Authors
  1. Lothar Lemnitzer

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  2. Cristina Vertan

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  3. Alex Killing

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  4. Kiril Simov

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  5. Diane Evans

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  6. Dan Cristea

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  7. Paola Monachesi

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Editor information

Erik Duval Ralf Klamma Martin Wolpers

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© 2007 Springer-Verlag Berlin Heidelberg

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Lemnitzer, L.et al. (2007). Improving the Search for Learning Objects with Keywords and Ontologies. In: Duval, E., Klamma, R., Wolpers, M. (eds) Creating New Learning Experiences on a Global Scale. EC-TEL 2007. Lecture Notes in Computer Science, vol 4753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75195-3_15

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