Semantic Annotation of Resources of Distance Learning Based Intelligent Agents

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 limits annotations to specific cases (teacher annotation, learner annotation, annotation of electronic documents etc.) these annotations are edited by users with an annotation tools, by cons 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 ontologies and ontology applications. We believe that the original resource annotations, a storehouse of learning objects standardized by LOM profile, these learning objects are managed using an ontology learning.