OM-2017: Proceedings of the Twelfth International Workshop on Ontology Matching

Abstract : Ontology matching is a key interoperability enabler for the semantic web, as well as a useful tactic in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes ontologies as input and determines as output an alignment, that is, a set of correspondences between the semantically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging, data translation, query answering or navigation on the web of data. Thus, matching ontologies enables the knowledge and data expressed with the matched ontologies to interoperate.
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Pavel Shvaiko, Jérôme Euzenat, Ernesto Jiménez-Ruiz, Michelle Cheatham, Oktie Hassanzadeh. OM-2017: Proceedings of the Twelfth International Workshop on Ontology Matching. OM 2017 - 12th International Workshop on Ontology Matching, Oct 2017, Wien, Austria. No commercial editor., pp.1-233, 2017. ⟨hal-01674668⟩

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