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Towards Large-Size Ontology Alignment by Mapping Groups of Concepts

Patrice Buche 1, 2 Juliette Dibie-Barthelemy 3, 4 Liliana Ibanescu 4, 3
1 UMR IATE - Ingénierie des Agro-polymères et Technologies Émergentes
2 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
3 MET@RISK - Méthodologies d'Analyse de Risque Alimentaire
4 AgroParisTech
Abstract : This paper presents a semi-automatic method to map groups of concepts between two ontologies.
Mots-clés : informatique intelligence artificielle ontologie alignement
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00538572
Contributor : Patrice Buche <>
Submitted on : Monday, September 16, 2019 - 11:56:49 AM
Last modification on : Thursday, December 17, 2020 - 2:54:05 PM
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LIRMM | UNIV-MONTPELLIER | BA | MIPS | AGROPOLIS | MIA-PARIS | CIRAD | GRAPHIK | PARISTECH | AGROPARISTECH | CNRS | INRIA | INRA | IATE | MONTPELLIER-SUPAGRO | INRAE

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Patrice Buche, Juliette Dibie-Barthelemy, Liliana Ibanescu. Towards Large-Size Ontology Alignment by Mapping Groups of Concepts. OTM: On the Move to Meaningful Internet Systems, Oct 2010, Hersonissos, Crete, Greece. pp.43-44, ⟨10.1007/978-3-642-16961-8_13⟩. ⟨lirmm-00538572⟩

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