Results of the ontology alignment evaluation initiative 2017
Manel Achichi (Université de Montpellier)
Michelle Cheatham (Wright State University)
Zlatan Dragisic (Linköping University)
Jérǒme Euzenat (Université Grenoble Alpes)
Daniel Faria (Instituto Gulbenkian de Ciencia)
Alfio Ferrara (University of Milan)
Giorgos Flouris (Institute of Computer Science-FORTH)
Irini Fundulaki (Institute of Computer Science-FORTH)
Ian Harrow (Pistoia Alliance Inc.)
Valentina Ivanova (Linköping University)
Ernesto Jiménez-Ruiz (Universitetet i Oslo)
Kristian Kolthoff (University of Mannheim)
Elena Kuss (University of Mannheim)
Patrick Lambrix (Linköping University)
Henrik Leopold (Vrije Universiteit Amsterdam)
Huanyu Li (Linköping University)
Christian Meilicke (University of Mannheim)
Majeed Mohammadi (Information and Communication Technology)
Stefano Montanelli (University of Milan)
Catia Pesquita (University of Lissabon)
Tzanina Saveta (Institute of Computer Science-FORTH)
Pavel Shvaiko (Informatica Trentina)
Andrea Splendiani (Pistoia Alliance Inc.)
Heiner Stuckenschmidt (University of Mannheim)
Elodie Thiéblin (Université de Toulouse)
Konstantin Todorov (Université de Montpellier)
Cássia Trojahn (Université de Toulouse)
Ondřej Zamazal (University of Economics Prague)
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Abstract
Ontology matching consists of finding correspondences between semantically related entities of different ontologies. 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 (from simple thesauri to expressive OWL ontologies) and use different evaluation modalities (e.g., blind evaluation, open evaluation, or consensus). The OAEI 2017 campaign offered 9 tracks with 23 test cases, and was attended by 21 participants. This paper is an overall presentation of that campaign.