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Improving the Search for Learning Objects with Keywords and Ontologies
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Improving the Search for Learning Objects with Keywords and Ontologies
Lothar Lemnitzer1, Cristina Vertan2, Alex Killing3, Kiril Simov4, Diane Evans5, Dan Cristea6 and Paola Monachesi7
| (1) |
Seminar für Sprachwissenchaft, Universität Tübingen, Germany |
| (2) |
Natural Language Systems Divison, Institute or Informatics, University Hamburg, Germany |
| (3) |
Center for Security Studies, ETH Zürich, Switzerland |
| (4) |
LML, IPP, Bulgarian Academy of Sciences, Sofia, Bulgaria |
| (5) |
The Open University, Milton Keynes, UK |
| (6) |
University of Iasi, Romania |
| (7) |
Utrecht University, Uil-OTS, Utrecht, The Netherlands |
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.
Keywords learning object - metadata - keyword extraction - ontology - multilinguality
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