Towards a complex alignment evaluation dataset

Elodie Thiéblin (1) , Ollivier Haemmerlé (1, 2) , Nathalie Jane Hernandez (1, 2) , Cassia Trojahn dos Santos (1, 2)

1 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
2 UT2J - Université Toulouse - Jean Jaurès

Simple ontology alignments, largely studied, link one entity from a source ontology to one entity of a target ontology. One of the limitations of these alignments is, however, their lack of expressiveness which can be overcome by complex alignments. Different approaches for generating complex alignments have emerged in the literature [4,5,6]. However, there is a lack of datasets on which they can be evaluated.

Mots clés: Complex dataset; Evaluation dataset; Complex alignments

Domaines: Complexité [cs.CC]; Algorithme et structure de données [cs.DS]

Elodie Thiéblin, Ollivier Haemmerlé, Nathalie Jane Hernandez, Cassia Trojahn dos Santos. Towards a complex alignment evaluation dataset. 12th International Workshop on Ontology Matching co-located with the 16th International Semantic Web Conference (OM@ISWC 2017), Oct 2017, Vienna, Austria. pp.217-218. ⟨hal-02603952⟩