TaxoMap in the OAEI 2007 alignment contest

Haifa Zargayouna (1) , Brigitte Safar (1) , Chantal Reynaud (1)

1 LRI - Laboratoire de Recherche en Informatique

This paper presents our first participation in the OAEI 2007 campaign. It describes an approach to align taxonomies which relies on terminological and structural techniques applied sequentially. We per- formed our method with various taxonomies using our prototype, Tax- oMap. Previous experimental results were encouraging and demonstrate the relevance of this alignment approach. In this paper, we evaluate the strengths and weaknesses of TaxoMap in the context of the OAEI cam- paign where the ontologies to align are different from taxonomies we are used to deal with.

Domaines: Intelligence artificielle [cs.AI]

Haifa Zargayouna, Brigitte Safar, Chantal Reynaud. TaxoMap in the OAEI 2007 alignment contest. The Second International Workshop on Ontology Matching (OM'07), Nov 2007, Busan, South Korea. pp.268-275. ⟨hal-00517113⟩