POMap results for OAEI 2017

Amir Laadhar (1) , Faiza Ghozzi (2) , Imen Megdiche (1) , Franck Ravat (1, 3) , Olivier Teste (1, 4) , Faiez Gargouri (2)

1 IRIT-SIG - Systèmes d’Informations Généralisées
2 MIRACL - Multimedia, InfoRmation systems and Advanced Computing Laboratory
3 UT Capitole - Université Toulouse Capitole
4 UT2J - Université Toulouse - Jean Jaurès

Ontology matching is an effective strategy to find the correspondences among different ontologies in a scalable and heterogeneous semantic web. In order to find these correspondences, a matching system should be built aiming to ensure the interoperability between the aligned entities. POMap (Pairwise Ontology Mapping) is an automated ontology matching system dealing with the three main types of heterogeneity: syntactic, semantic and structural. During our first participation in the OAEI campaign, POMap succeeded to be one of the top three performing systems in the Anatomy track. In the remaining of this paper, we briefly introduce POMap and discuss its OAEI 2017 results according to four tracks: Anatomy, Conference, Large Biomedical Ontoloies, Disease and Phenotype.

Mots clés: Semantic web; Ontology matching; Information System; semantic matching; Syntactic matching; Structural matching

Domaines: Théorie de l'information [cs.IT]; Recherche d'information [cs.IR]

Amir Laadhar, Faiza Ghozzi, Imen Megdiche, Franck Ravat, Olivier Teste, et al.. POMap results for OAEI 2017. 12th International Workshop on Ontology Matching collocated with the 16th International Semantic Web Conference (OM @ ISWC'17), Oct 2017, Vienna, Austria. pp. 1-7. ⟨hal-01709125⟩