Skip to Main content Skip to Navigation
Conference papers

Ontology alignment with OLA

Abstract : Using ontologies is the standard way to achieve interoperability of heterogeneous systems within the Semantic web. However, as the ontologies underlying two systems are not necessarily compatible, they may in turn need to be aligned. Similarity-based approaches to alignment seems to be both powerful and flexible enough to match the expressive power of languages like OWL. We present an alignment tool that follows the similarity-based paradigm, called OLA. OLA relies on a universal measure for comparing the entities of two ontologies that combines in a homogeneous way the entire amount of knowledge used in entity descriptions. The measure is computed by an iterative fixed-point-bound process producing subsequent approximations of the target solution. The alignments produce by OLA on the contest ontology pairs and the way they relate to the expected alignments is discussed and some preliminary conclusions about the relevance of the similarity-based approach as well as about the experimental settings of the contest are drawn.
Document type :
Conference papers
Complete list of metadata
Contributor : Jérôme Euzenat Connect in order to contact the contributor
Submitted on : Thursday, December 12, 2013 - 10:34:09 PM
Last modification on : Wednesday, April 6, 2022 - 3:48:48 PM
Long-term archiving on: : Thursday, March 13, 2014 - 2:05:19 PM


Files produced by the author(s)


  • HAL Id : hal-00918128, version 1



Jérôme Euzenat, David Loup, Mohamed Touzani, Petko Valtchev. Ontology alignment with OLA. Proc. 3rd ISWC2004 workshop on Evaluation of Ontology-based tools (EON), Nov 2004, Hiroshima, Japan. pp.59-68. ⟨hal-00918128⟩



Record views


Files downloads