A learning semantic Web service for generating learning paths

Chaker Ben Mahmoud , Azaiez Ikbel , Fathia Bettahar , Marie-Hélène Abel (1) , Faïez Gargouri

1 Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne]

In the present work, we presented a new approach to provide learners with learning paths adapted to their requests. These courses were generated by the composition of the learning semantic Web services. Our approach defined a learning Web service (WS) for each learning object (LO) to overcome the problems of interoperability and accessibility of learning objects. Each WS was represented, in the directory, by a learning semantic Web service (OWLS-LO) to describe a semantic understanding of the object being represented. This semantic approach was described by ontologies.

Mots clés: e-Learning; Learning Paths; Learning Service; structured descriptions of learning resources that facilitate the discovery; location; evaluation; and acquisition of learning resources [3]. This allows the sharing of these descriptions between discovery systems based on resource descriptions. Ontology; semantic Web service learning; OWL-S; Composition

Domaines: Informatique [cs]; Environnements Informatiques pour l'Apprentissage Humain; Intelligence artificielle [cs.AI]

Chaker Ben Mahmoud, Azaiez Ikbel, Fathia Bettahar, Marie-Hélène Abel, Faïez Gargouri. A learning semantic Web service for generating learning paths . 14th IEEE/ACIS International Conference on Computer and Information Science, Jul 2015, Las Vegas NV, United States. pp.627-631, ⟨10.1109/ICIS.2015.7166668⟩. ⟨hal-01306880⟩