Abstract
E-Learning service providers produce or collect digital learning resources, derive metadata for their description, and reuse and organize them in repositories. This paper proposes a data mining approach to discover relationships between the learning resources metadata. In particular, it presents and evaluates methods for clustering learning resources and providing controlled vocabularies for each class description. The derived classes and vocabularies contribute to the semantic interoperability in learning resource interchanges.
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Papatheodorou, C., Vassiliou, A. (2006). Discovering Ontologies for e-Learning Platforms. In: Antoniou, G., Potamias, G., Spyropoulos, C., Plexousakis, D. (eds) Advances in Artificial Intelligence. SETN 2006. Lecture Notes in Computer Science(), vol 3955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752912_72
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DOI: https://doi.org/10.1007/11752912_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34117-8
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