Year: 2013
Type: conference-paper
Abstract: Ontology matching consists of finding correspondences between semantically related entities of two ontologies. OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases. These test cases can use ontologies of different nature (from simple thesauri to expressive OWL ontologies) and use different modalities, e.g., blind evaluation, open evaluation and consensus. OAEI 2013 offered 6 tracks with 8 test cases followed by 23 participants. Since 2010, the campaign has been using a new evaluation modality which provides more automation to the evaluation. This paper is an overall presentation of the OAEI 2013 campaign.
Source: HAL
Authors: Cuenca Grau, Bernardo, Dragisic, Zlatan, Eckert, Kai, Euzenat, Jérôme, Ferrara, Alfio, Granada, Roger, Ivanova, Valentina, Jiménez-Ruiz, Ernesto, Kempf, Andreas Oskar, Lambrix, Patrick, Nikolov, Andriy, Paulheim, Heiko, Ritze, Dominique, Scharffe, François, Shvaiko, Pavel, Trojahn dos Santos, Cassia, Zamazal, Ondrej
Institutions: Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, Linköping University, Wright State University, University of Mannheim, Institut national de recherche en sciences et technologies du numérique, MOEX: Evolution de la connaissance, University of Milan, Instituto Gulbenkian de Ciência, Politecnico di Milano, Pontifícia Universidade Católica do Rio Grande do Sul, FORTH Institute of Computer Science, Foundation for Research and Technology Hellas, University of Oxford, GESIS - Leibniz Institute for the Social Sciences, University of Oslo, Fluid Operations (Germany), Vrije Universiteit Amsterdam, Prague University of Economics and Business
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2615115461