Results of the Ontology Alignment Evaluation Initiative 2016

Manel Achichi(Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier), Michelle Cheatham(Wright State University), Zlatan Dragisic(Linköping University), Jérôme Euzenat(Institut national de recherche en sciences et technologies du numérique), Daniel Faria(Instituto Gulbenkian de Ciência), Alfio Ferrara(University of Milan), Giorgos Flouris(FORTH Institute of Computer Science), Irini Fundulaki(FORTH Institute of Computer Science), Ian Harrow(Friedreich's Ataxia Research Alliance), Valentina Ivanova(Linköping University), Ernesto Jiménez-Ruiz(Infor (Norway)), Kristian Kolthoff, Elena Kuss, Patrick Lambrix(Linköping University), Henrik Leopold(Vrije Universiteit Amsterdam), Huanyu Li(Linköping University), Christian Meilicke, Majid Mohammadi(Delft University of Technology), Stefano Montanelli(University of Milan), Cátia Pesquita(University of Lisbon), Tzanina Saveta(FORTH Institute of Computer Science), Pavel Shvaiko(Trentino Network (Italy)), Andrea Splendiani(Novartis (Switzerland)), Heiner Stuckenschmidt, Élodie Thiéblin(Université Toulouse III - Paul Sabatier), Konstantin Todorov(Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier), Trojahn, Cássia(Université Toulouse III - Paul Sabatier), Ondřej Zamazal(Prague University of Economics and Business)
City Research Online (City University London)
January 1, 2016
Cited by 197Open Access
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Abstract

<p>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.</p>


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