Results of theOntology Alignment Evaluation Initiative 2021Information School, The University of Sheffield, Sheffield, UK.
LASIGE, Faculdade de Ciencias, Universidade de Lisboa, Portugal .
Institute of Computer Science-FORTH, Heraklion, Greece.
Pistoia Alliance Inc., USA.
University of Mannheim, Germany.
Data Semantics (DaSe) Laboratory, Kansas State University, USA.
Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI, Germany.
AgroParisTech, UMR MIA-Paris/INRAE, France.
City, University of London, UK and Department of Informatics, University of Oslo, Norway.
Fraunhofer FOKUS, Berlin, Germany and Institute for Applied Informatics (InfAI), University of Leipzig, Germany.
Department of Computer Science, Aalborg University, Denmark.
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Computer and Information Science, Database and information techniques.
University Cote d’Azur, CNRS, Inria, France.
Freiburg Galaxy Team, University of Freiburg, Germany.
University of Mannheim, Germany.
LASIGE, Faculdade de Ciencias, Universidade de Lisboa, Portugal .
University of Mannheim, Germany.
INRAE Centre Clermont-ARA, laboratoire TSCF, France.
Institute of Computer Science-FORTH, Heraklion, Greece.
Trentino Digitale SpA, Trento, Italy.
Pistoia Alliance Inc., USA.
IRIT & Universite Toulouse II, Toulouse, France .
Prague University of Economics and Business, Czech Republic.
ADAPT Centre, Dublin City University, Ireland.
Prague University of Economics and Business, Czech Republic.
Data Semantics (DaSe) Laboratory, Kansas State University, USA.
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2021 (English)In: Proceedings of the 16th International Workshop on Ontology Matching: co-located with the 20th International Semantic Web Conference (ISWC 2021) / [ed] Pavel Shvaiko, Jérôme Euzenat, Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Cássia Trojahn, CEUR Workshop proceedings , 2021, p. 62-108Conference 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 (e.g., blind evaluation, open evaluation, or consensus). The OAEI 2021 campaign offered 13 tracks and was attended by 21 participants.This paper is an overall presentation of that campaign.
Place, publisher, year, edition, pages
CEUR Workshop proceedings , 2021. p. 62-108
Series
CEUR Workshop proceedings, ISSN 1613-0073 ; 3063
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-182428OAI: oai:DiVA.org:liu-182428DiVA, id: diva2:1630290
Conference
16th International Workshop on Ontology Matching
Funder
Swedish Research Council, 2018-04147CUGS (National Graduate School in Computer Science)Swedish e‐Science Research Center2022-01-192022-01-192022-01-19