Towards a Middle-out Approach for Building Legal Domain Reference Ontology

Mirna El Ghosh (1, 2, 3) , H. Naja (4) , H. Abdulrab (2, 3, 1) , M. Khalil (4)

1 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
2 INSA Rouen Normandie - Institut national des sciences appliquées Rouen Normandie
3 MIND - LITIS - Equipe Multi-agent, Interaction, Décision
4 LU / ULB - الجامعة اللبنانية [بيروت] = Lebanese University [Beirut] = Université libanaise [Beyrouth]

This article presents a middle-out approach to build legal domain reference ontology for a Legal Knowledge Based System (LKBS). The proposed approach is a combination of top-down and bottom-up strategies. In particular, we propose to develop legal domain reference ontology, splitted into modules or fragments, based on merging two processes: Conceptual Modeling Process, by reusing foundational ontologies (top-down strategy) and Ontology Learning Process from textual resources (bottom-up strategy).

Mots clés: modularization; legal ontology; domain reference ontology; Conceptual modeling; ontology learning

Domaines: Intelligence artificielle [cs.AI]

Mirna El Ghosh, H. Naja, H. Abdulrab, M. Khalil. Towards a Middle-out Approach for Building Legal Domain Reference Ontology. International Journal of Knowledge Engineering, 2016, 2 (3), pp.109-114. ⟨10.18178/ijke.2016.2.3.063⟩. ⟨hal-01627322⟩