Results of the ontology alignment evaluation initiative 2020
Nikooie Pour, M. A., Algergawy, A., Amini, R. , Faria, D., Fundulaki, I., Harrow, I., Hertling, S., Jimenez-Ruiz, E. 
ORCID: 0000-0002-9083-4599, Jonquet, C., Karam, N., Khiat, A., Laadhar, A., Lambrix, P., Li, H., Li, Y., Hitzler, P., Paulheim, H., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Yaman, B., Zamazal, O. & Zhou, L. (2020).
Results of the ontology alignment evaluation initiative 2020.
Proceedings of the 15th International Workshop on Ontology Matching (OM 2020), 2788,
pp. 92-138.
Abstract
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 and use different evaluation modalities (e.g., blind evaluation, open evaluation, or consensus). The OAEI 2020 campaign offered 12 tracks with 36 test cases, and was attended by 19 participants. This paper is an overall presentation of that campaign.
| Publication Type: | Article |
|---|---|
| Additional Information: | Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). Proceedings of the 15th International Workshop on Ontology Matching (OM 2020), Virtual conference (originally planned to be in Athens, Greece), November 2, 2020. Edited by: Pavel Shvaiko, Jérôme Euzenat, Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Cássia Trojahn. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Departments: | School of Science & Technology > Computer Science |
Available under License Creative Commons: Attribution International Public License 4.0.
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