Semantic Web Mining for E-Learning Personalization

Abstract: Semantic Web and Web Mining are two developing scientific areas that envisage forms of intelligence being added in many web-based applications, including e-learning. The challenge and the promise for the application of Semantic Web Mining technologies in the e-learning domain relate to the provision of effective personalized experiences for the end-users. Particularly, these applications can take into consideration the individual needs, requirements, background, progress, etc. of the learners and produce different tailored views of the e-learning material. This paper proposes a framework for personalised e-learning based on aggregate usage profiles and a domain ontology. The whole process has been distinguished into two stages, one of offline tasks that includes data preparation, ontology creation and usage mining and one of online tasks that concerns the production of recommendations