Une modélisation de l'apprenant basée web sémantique et web services

Abstract

With the sprawl of information on the web, came the need for mechanisms increasingly able to organize and maintain information to provide structured responses and more accurate response to user requests. Based on ontologies, the development of the semantic web offers new opportunities and challenges in the design of a generation of adaptative systems, where user modeling is a key element for personalized interaction. This is the result that the idea of semantic referencing of the learner to provide the learning system of relevant information to customize and tailor learning. It is within this context that the scope of our work to integrate a new vision of modeling and model management learning in distributed environments and open, on three different aspects of this model; first the cognitive and knowledge representation of the learner by offering a semantic learning of the actor, and the notion of skills after the appearance interoperability that will be processed by the web services and semantic web languages and end the scalability aspect of this model.