Using Semantic Web Mining Technologies for Personalized e-Learning Experiences

P. Markellou, I. Mousourouli, S. Spiros, and A. Tsakalidis (Greece)


e-Learning, Semantic Web, Web Usage Mining, Ontologies, Adaptive Hypermedia, Personalization, Association Rules, Recommendations.


The challenge of the Semantic Web Mining technologies in the e-Learning domain can relate to the provision of personalized experiences for the users. Particularly, these applications can take into consideration the individual needs and requirements of learners. In this paper, we propose a framework for personalised e-Learning based on aggregate usage profiles and a domain ontology. We have distinguished two stages in the whole process, one of offline tasks that includes data preparation, ontology creation and usage mining and one of online tasks that concerns the production of recommendations.

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