Ontology based system to guide internship assignment process

Abir M'Baya (1) , Jannik Laval (1) , Néjib Moalla (1) , Yacine Ouzrout (1) , Abdelaziz Bouras (1, 2)

1 DISP - Décision et Information pour les Systèmes de Production
2 CSE Department, College of Engineering, Qatar University, PO BOX 2713, Doha, Qatar

Internship assignment is a complicated process for universities since it is necessary to take into account a multiplicity of variables to establish a compromise between companies' requirements and student competencies acquired during the university training. These variables build up a complex relations map that requires the formulation of an exhaustive and rigorous conceptual scheme. In this research a domain ontological model is presented as support to the student's decision making for opportunities of University studies level of the University Lumiere Lyon 2 (ULL) education system. The ontology is designed and created using methodological approach offering the possibility of improving the progressive creation, capture and knowledge articulation. In this paper, we draw a balance taking the demands of the companies across the capabilities of the students. This will be done through the establishment of an ontological model of an educational learners' profile and the internship postings which are written in a free text and using uncontrolled vocabulary. Furthermore, we outline the process of semantic matching which improves the quality of query results.

Mots clés: student profile; semantic matching; ontology; internship posting

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

Abir M'Baya, Jannik Laval, Néjib Moalla, Yacine Ouzrout, Abdelaziz Bouras. Ontology based system to guide internship assignment process. 12th International Conference on Signal Image Technology & Internet Based Systems (SITIS 2016), Nov 2016, Naples, Italy. ⟨hal-01438751⟩