Interactive ontology matching: using expert feedback to select attribute mappings

Jomar da Silva (1) , Kate Revoredo (1) , Fernanda Araujo Baião (1) , Jérôme Euzenat (2)

1 UNIRIO - Universidade Federal do Estado do Rio de Janeiro
2 MOEX - Evolution de la connaissance

Interactive Ontology Matching considers the participation of domain experts during the matching process of two ontologies. An important step of this process is the selection of mappings to submit to the expert. These mappings can be between concepts, attributes or relationships of the ontologies. Existing approaches define the set of mapping suggestions only in the beginning of the process before expert involvement. In previous work, we proposed an approach to refine the set of mapping suggestions after each expert feedback, benefiting from the expert feedback to form a set of mapping suggestions of better quality. In this approach, only concept mappings were considered during the refinement. In this paper, we show a new approach to evaluate the benefit of also considering attribute mappings during the interactive phase of the process. The approach was evaluated using the OAEI conference data set, which showed an increase in recall without sacrificing precision. The approach was compared with the state-of-the-art, showing that the approach has generated alignment with state-of-the-art quality.

Mots clés: Ontology matching; WordNet; Interactive ontology matching; Ontology alignment; Interactive ontology alignment

Domaines: Intelligence artificielle [cs.AI]; Web

Jomar da Silva, Kate Revoredo, Fernanda Araujo Baião, Jérôme Euzenat. Interactive ontology matching: using expert feedback to select attribute mappings. OM 2018 - 13th ISWC workshop on ontology matching, Oct 2018, Monterey, United States. pp.25-36. ⟨hal-01964686⟩