Ontology-based Organizational Memory for e-learning
Marie-Hélène Abel
UMR CNRS 6599 Heudiasyc, BP 20529 University of Compiègne 60205 Compiègne Cedex, France Tel: +33 34423 4950 Fax: +33 34423 4477, Marie-Helene.Abel@hds.utc.fr
Ahcène Benayache
UMR CNRS 6599 Heudiasyc, BP 20529 University of Compiègne 60205 Compiègne Cedex, France Tel: +33 34423 4950 Fax: +33 34423 4477, Ahcene.Benayache@hds.utc.fr
Dominique Lenne
UMR CNRS 6599 Heudiasyc, BP 20529 University of Compiègne 60205 Compiègne Cedex, France Tel: +33 34423 4950 Fax: +33 34423 4477, Dominique.Lenne@hds.utc.fr
Claude Moulin
UMR CNRS 6599 Heudiasyc, BP 20529 University of Compiègne 60205 Compiègne Cedex, France Tel: +33 34423 4950 Fax: +33 34423 4477, Claude.Moulin@hds.utc.fr
Catherine Barry
FRE CNRS 2733 LARIA Université de Picardie Jules-Verne 80000 Amiens cedex, France Tel: +33 32282 5410 Fax: +33 32282 5412 Barry@laria.u-picardie.fr
Brigitte Chaput
Equipe SaSo, groupe NTE Université de Picardie Jules-Verne 80000 Amiens cedex, France Tel: +33 2272 6980, Brigitte.Chaput@u-picardie.fr
ABSTRACT: e-learning leads to evolutions in the way of designing a course. Diffused through the web, the course content cannot be the direct transcription of a face to face course content. A course can be seen as an organization in which different actors are involved. These actors produce documents, information and knowledge that they often share. We present in this paper an ontology-based document-driven memory which is particularly adapted to an e-learning situation. The utility of a shared memory is reinforced in this kind of situation, because the interactions do not usually occur in the same place and in the same time. First we precise our conception of e-learning and we analyze actors needs. Then we present the main features of our learning organizational memory and we focus on the ontologies on which it is based. We consider two kinds of ontologies: the first one is generic and concerns the domain of training; the second one is related to the application domain and is specific to a particular training program. We present our approach for building these ontologies and we show how they can be merged. Finally we describe the learning memory and the prototype we realized for two course units proposed in our universities
Keywords: E-learning, Ontology, Organizational memory, Topic maps
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