OAEI 2018 results of POMap++

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 the process of finding a set of corre-spondences between the entities of two or more ontologies representing asimilar domain. POMap++ is an ontology matching system associatingontology partitioning to the machine learning techniques. This associ-ation delivers a local matching learning. POMap++ provides an auto-mated local matching learning for the biomedical tracks. For the non-biomedical tracks we employ the version of POMap 2017. In this paper,we present POMap++ as well as the obtained results for the OntologyAlignment Evaluation Initiative of 2018.

Mots clés: Ontology partitioning; Machine learning; Ontology Matching; Semantic web

Domaines: Apprentissage [cs.LG]

Amir Laadhar, Faiza Ghozzi, Imen Megdiche, Franck Ravat, Olivier Teste, et al.. OAEI 2018 results of POMap++. 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (OM@ISWC 2018), Oct 2018, Monterey, CA, United States. pp.192-196. ⟨hal-02181946⟩