Discovering ontologies for e-learning platforms

Authors:
Christos Papatheodorou;Alexandra Vassiliou
Affiliations:
Department of Archive and Library Sciences, Ionian University, Corfu, Greece;Division of Applied Technologies, NCSR “Demokritos”, Athens, Greece
Venue:
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Year:
2006

Citing 6
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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.