Improving the search for learning objects with keywords and ontologies

  • Authors:
  • Lothar Lemnitzer;Cristina Vertan;Alex Killing;Kiril Simov;Diane Evans;Dan Cristea;Paola Monachesi

  • Affiliations:
  • Seminar für Sprachwissenchaft, Universität Tübingen, Germany;Natural Language Systems Divison, Institute or Informatics, University Hamburg, Germany;Center for Security Studies, ETH Zrich, Switzerland;LML, IPP, Bulgarian Academy of Sciences, Sofia, Bulgaria;The Open University, Milton Keynes, UK;University of Iasi, Romania;Utrecht University, Uil-OTS, Utrecht, The Netherlands

  • Venue:
  • EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

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 project Language 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.