Results of the Ontology Alignment Evaluation Initiative 2022Department of Computer Science, The University of Manchester, UK.
Department of Computer Science, University of Oxford, UK.
Information School, The University of Sheffield, Sheffield, UK.
University of Lisbon, Portugal.
Institute of Computer Science-FORTH, Heraklion, Greece.
Data and Web Science Group, University of Mannheim, Germany.
Department of Computer Science, University of Oxford, UK.
Department of Computer Science, University of Oxford, UK.
Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI, Germany.
Universite Paris-Saclay, INRAE, AgroParisTech, UMR MIA Paris-Saclay, France.
City, University of London, UK & SIRIUS, University of Oslo, Norway.
Fraunhofer FOKUS & Institute for Applied Informatics, University of Leipzig, Germany.
University of Stuttgart, Germany.
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Computer and Information Science, Database and information techniques.
University Cote d’Azur, CNRS, Inria.
Albert Ludwig University of Freiburg, Germany.
Data and Web Science Group, University of Mannheim, Germany.
LASIGE, Faculdade de Ciencias, Universidade de Lisboa, Portugal.
Institute of Computer Science-FORTH, Heraklion, Greece.
Trentino Digitale SpA, Trento, Italy.
Institut de Recherche en Informatique de Toulouse, France.
World Data System, International Technology Office, USA.
Australian Research Data Commons.
ADAPT Centre, Trinity College Dublin.
Prague University of Economics and Business, Czech Republic.
TigerGraph, Inc. USA.
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2022 (English)In: Proceedings of the 17th International Workshop on Ontology Matching (OM 2022): co-located with the 21th International Semantic Web Conference (ISWC 2022) / [ed] Pavel Shvaiko, Jerome Euzenat, Ernesto Jimenez-Ruiz, Oktie Hassanzadeh, Cassia Trojahn, CEUR Workshop Proceedings , 2022, p. 84-128Conference paper, Published paper (Refereed)
Abstract [en]
The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities. The OAEI 2022 campaign offered 14 tracks and was attended by18 participants. This paper is an overall presentation of that campaign
Place, publisher, year, edition, pages
CEUR Workshop Proceedings , 2022. p. 84-128
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 3324
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-190995OAI: oai:DiVA.org:liu-190995DiVA, id: diva2:1725793
Conference
Ontology Matching 2022
Funder
CUGS (National Graduate School in Computer Science)Swedish e‐Science Research CenterSwedish Research Council, 2018-041472023-01-112023-01-112025-09-10