Ontology based user modeling for personalization of grid learning services

The paper shows how semantic grid learning services will support a user-centered, personalized, contextualized and experiential based approach for ubiquitous learning. In order to allow personalized learning processes, we need to study and define methodologies for representing, through adequate knowledge structures, such as ontologies, both the area (the learning context) and the learner. In this paper we will focus on the role of personalized ontologies for a new generation of intelligent services, and more specifically, about their role for Grid Learning services in ELeGI.