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

Autor: Shvaiko, Pavel, Euzenat, Jérôme, Jiménez-Ruiz, Ernesto, Cheatham, Michelle, Hassanzadeh, Oktie
Přispěvatelé: Informatica Trentina [Trento], Evolution de la connaissance (MOEX ), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Department of Informatics [Oslo], Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Wright State University, IBM Watson Research Center, IBM
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: OM 2017-12th International Workshop on Ontology Matching
OM 2017-12th International Workshop on Ontology Matching, Oct 2017, Wien, Austria. No commercial editor., pp.1-233, 2017
Popis: shvaiko2017a; International audience; Ontology matching is a key interoperability enabler for the semantic web, as well as auseful tactic in some classical data integration tasks dealing with the semantic heterogeneityproblem. 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, matchingontologies enables the knowledge and data expressed with the matched ontologies tointeroperate.
Databáze: OpenAIRE
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