Abstract—Today, the web contains multitude sources of information and knowledge that can be used as learning materials, that’s why users are faced with a large number of irrelevant answers returned by the classical information search tools. During the last decade, recommendation systems have emerged as an effective means to reduce the complexity of information search, these recommendation systems are based on a learner’s profile. The construction of user profiles is at the center of the issues raised in the study of mechanisms for personalization or recommendation of resources to users that takes into account their specific needs. These profiles are constructed and enriched with the user interaction with the system. The objective of this paper is to present our approach for modeling a learner within our recommendation system. This is to develop a system to collect the learner’s interaction Traces and process them, in order to propose in an automatic way educational resources adapted to their needs, through a set of agents which interact with each other.

Index Terms—ILE, Trace, trace model, learner profile, modeling, ontology, multi-agent systems, semantic web

Cite: Mohammed Kamal Rtili and Mohamed KHALDI, and Ali Dahmani, "Modeling Approach to Learner Based Ontologies for the Recommendation of Resources in an Interactive Learning Environments," Journal of Emerging Technologies in Web Intelligence, Vol. 6, No. 3, pp. 340-347, August 2014. doi:10.4304/jetwi.6.3.340-347