Uniquement les thèses soutenues
Uniquement les thèses soutenues accessibles en ligne
Projet de thèse en Informatique
Sous la direction de Zohra Bellahsene.
Thèses en préparation à Montpellier en cotutelle avec l'Ecole nationale Supérieure d'Informatique , dans le cadre de I2S - Information, Structures, Systèmes , en partenariat avec LIRMM - Laboratoire d'Informatique, de Robotique et de Micro-électronique de Montpellier (laboratoire) et de Département Informatique (equipe de recherche) depuis le 01-12-2014 .
Ontology alignment is the process of finding correspondences between ontologies. In our thesis, we investigate if the use of background knowledge (meta-thesaurus, ontologies, mappings, etc.) can improve the classical approaches based mainly on lexical and structural similarity measures. For that purpose, we try to build a good approach that allow to select (or construct) dynamically the appropriate Background Knowledge. Then, to define how to exploit it effectively in the alignment process.
Using Background Knowledge to enhance Biomedical Ontology Matching
Ontology alignment is the process of finding correspondences between ontologies. In our thesis, we investigate if the use of background knowledge (meta-thesaurus, ontologies, mappings, etc.) can improve the classical approaches based mainly on lexical and structural similarity measures. For that purpose, we try to build a good approach that allow to select (or construct) dynamically the appropriate Background Knowledge. Then, to define how to exploit it effectively in the alignment process.
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