Validating Top-level and Domain Ontology Alignments using WordNet

Daniela Schmidt (1) , Cassia Trojahn dos Santos (2, 3) , Renata Vieira (1) , Mouna Kamel (2)

1 PUC-RS - Pontifícia Universidade Católica do Rio Grande do Sul [Brasil] = Pontifical Catholic University of Rio Grande do Sul [Brazil] = Université catholique pontificale de Rio Grande do Sul [Brésil]
2 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
3 UT2J - Université Toulouse - Jean Jaurès

Matching domain and top-level ontologies is an important task but still an open problem in the ontology matching field, particularly due to their different levels of abstraction. Beyond that, validating candidate alignments is crucial before exploiting them within ontology construction and integration processes involving such kinds of ontologies. This paper concerns the automatic validation of candidate alignments between top and domain ontologies, exploiting WordNet background knowledge. We apply our approach for validating alignments generated by a set of matching tools and discuss the results against manual validation. Our experiments are based on one domain ontology and three well-known top-level ontologies.

Mots clés: WordNet

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Logique en informatique [cs.LO]; Informatique et langage [cs.CL]

Daniela Schmidt, Cassia Trojahn dos Santos, Renata Vieira, Mouna Kamel. Validating Top-level and Domain Ontology Alignments using WordNet. Brazilian Seminar Ontology (ONTOBRAS 2016), Oct 2016, Curitiba, Brazil. pp. 1. ⟨hal-01809321⟩