Results of the Ontology Alignment Evaluation Initiative 2023
Pour, M. A. N., Algergawy, A., Buche, P. , Castro, L. J., Chen, J., Coulet, A., Cufi, J., Dong, H., Fallatah, O., Faria, D., Fundulaki, I., Hertling, S., He, Y., Horrocks, I., Huschka, M., Ibanescu, L., Jain, S., Jimenez-Ruiz, E. 
ORCID: 0000-0002-9083-4599, Karam, N., Lambrix, P., Li, H., Li, Y., Monnin, P., Nasr, E., Paulheim, H., Pesquita, C., Saveta, T., Shvaiko, P., Sousa, G., Trojahn, C., Vataščinová, J., Wu, M., Yaman, B., Zamazal, O. & Zhou, L. (2023).
Results of the Ontology Alignment Evaluation Initiative 2023.
In: Shvaiko, P., Euzenat, J. & Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 (Eds.),
OM 2023 Ontology Matching.
18th International Workshop on Ontology Matching, 7 Nov 2023, Athens, Greece.
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. The OAEI 2023 campaign offered 15 tracks and was attended by 16 participants. This paper is an overall presentation of that campaign.
| Publication Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0) |
| 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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