Abstract-This paper presents a system based on intelligent agents for the semantic annotation of learning resources taking into account the context of training. Semantic annotations systems rarely treat existing semantic annotations in the field of distance education (e-learning). Most researchers in the field of education limit annotations to specific cases (teacher annotation, learner annotation, annotation of electronic documents etc.) these annotations are edited by users with annotation tools. In turn, in our approach, we propose a semantic annotation system based on intelligent agents that manage semantic annotations of educational resources; these annotations are guided by domain of ontologies and ontology applications. We believe that the original resource annotations, a storehouse of learning objects, are standardized by LOM profile, these learning objects are managed using an ontology learning.

Abstract-Few documents can be reused among the huge number of the educational documents on the web. The exponential increase of these documents makes it almost impossible to search for relevant documents.In addition to this, e-learning is designed for public users who have different levels of knowledge and varied skills so they should be given a content that sees to their needs.This work is about adapting the content of learning with learners preferences, and give the teachers the ability to reuse a given content.