Results of the ontology alignment evaluation initiative 2017?

Contributo in Atti di convegno

Data di Pubblicazione:

2017

Citazione:

Results of the ontology alignment evaluation initiative 2017? / M. Achichi, M. Cheatham, Z. Dragisic, J. Euzenat, D. Faria, A. Ferrara, G. Flouris, I. Fundulaki, I. Harrow, V. Ivanova, E. Jimenez-Ruiz, K. Kolthoff, E. Kuss, P. Lambrix, H. Leopold, H. Li, C. Meilicke, M. Mohammadi, S.M.C. Pesquita, T. Saveta, P. Shvaiko, A. Splendiani, H. Stuckenschmidt, E. Thieblin, K. Todorov, C. Trojahn, O. Zamazal (CEUR WORKSHOP PROCEEDINGS). - In: Ontology Matching / [a cura di] P. Shvaiko, J. Euzenat, E. Jiménez-Ruiz, M. Cheatham, O. Hassanzadeh. - [s.l] : CEUR-WS, 2017. - pp. 61-113 (( convegno 12th International Workshop on Ontology Matching co-located with the 16th International Semantic Web Conference tenutosi a Wien nel 2017.

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.

Tipologia IRIS:

03 - Contributo in volume

Keywords:

Computer Science (all)

Elenco autori: