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, or consensus. OAEI 2016 offered 9 tracks with 22 test cases, and was attended by 21 participants. This paper is an overall presentation of the OAEI 2016 campaign.

Results of the Ontology Alignment Evaluation Initiative 2016 / M. Achichi, M. Cheatham, Z. Dragisic, J. Euzenat, D. Faria, A. Ferrara, G. Flouris, I. Fundulaki, I. Harrow, V. Ivanova, E. Jiménez Ruiz, E. Kuss, P. Lambrix, H. Leopold, H. Li, C. Meilicke, S. Montanelli, C. Pesquita, T. Saveta, P. Shvaiko, A. Splendiani, H. Stuckenschmidt, K. Todorov, C. Trojahn, O. Zamazal - In: Ontology Matching / [a cura di] P. Shvaiko, J. Euzenat, E. Jiménez-Ruiz, M. Cheatham, O. Hassanzadeh, R. Ichise. - [s.l] : CEUR-WS, 2016. - pp. 73-129 (( Intervento presentato al 11. convegno OM tenutosi a Kobe nel 2016.

Results of the Ontology Alignment Evaluation Initiative 2016

A. Ferrara;S. Montanelli;
2016

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, or consensus. OAEI 2016 offered 9 tracks with 22 test cases, and was attended by 21 participants. This paper is an overall presentation of the OAEI 2016 campaign.
Computer Science (all)
Settore INF/01 - Informatica
2016
http://ceur-ws.org/
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/500911
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