Learning of Legal Ontology Supporting the User Queries Satisfaction

In recent years, the development of legal ontologies has increased significantly with the diversity of their applications known as complicated due to the complexity of their domain. In the preliminary part of this paper, we introduce the major steps in the learning process, then we present some works interested in Arabic ontology learning. The rest of the paper serves to propose our approach for ontology learning from Tunisian Legal Texts designed for legal information retrieval. The search process that we suggest exploits the user's profile and uses a query reformulation mechanism based on the learned ontology. The purpose of the system is to satisfy a user's specific retrieval requirement by finding the best response to his request.