Similarity-based ontology alignment in OWL-Lite - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2004

Similarity-based ontology alignment in OWL-Lite


Interoperability of heterogeneous systems on the Web will be admittedly achieved through an agreement between the underlying ontologies. However, the richer the ontology description language, the more complex the agreement process, and hence the more sophisticated the required tools. Among current ontology alignment paradigms, similarity-based approaches are both powerful and flexible enough for aligning ontologies expressed in languages like OWL. We define a universal measure for comparing the entities of two ontologies that is based on a simple and homogeneous comparison principle: Similarity depends on the type of entity and involves all the features that make its definition (such as superclasses, properties, instances, etc.). One-to-many relationships and circularity in entity descriptions constitute the key difficulties in this context: These are dealt with through local matching of entity sets and iterative computation of recursively dependent similarities, respectively.
Fichier principal
Vignette du fichier
euzenat2004c.pdf (151.38 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-00918127 , version 1 (12-12-2013)


  • HAL Id : hal-00918127 , version 1


Jérôme Euzenat, Petko Valtchev. Similarity-based ontology alignment in OWL-Lite. Proc. 16th european conference on artificial intelligence (ECAI), Aug 2004, Valencia, Spain. pp.333-337. ⟨hal-00918127⟩
268 View
792 Download


Gmail Facebook X LinkedIn More