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Results of the Ontology Alignment Evaluation Initiative 2022

Pour, M., Algergawy, A., Buche, P. , Castro, L. J., Chen, J., Dong, H., Fallatah, O., Faria, D., Fundulaki, I., Hertling, S., He, Y., Horrocks, I., Huschka, M., Ibanescu, L., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Karam, N., Laadhar, A., Lambrix, P., Li, H., Li, Y., Michel, F., Nasr, E., Paulheim, H., Pesquita, C., Saveta, T., Shvaiko, P., Trojahn, C., Verhey, C., Wu, M., Yaman, B., Zamazal, O. & Zhou, L. (2022). Results of the Ontology Alignment Evaluation Initiative 2022. CEUR Workshop Proceedings, 3324, pp. 84-128. ISSN 1613-0073


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 2022 campaign offered 14 tracks and was attended by 18 participants. This paper is an overall presentation of that campaign.

Publication Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
Text - Published Version
Available under License Creative Commons: Attribution International Public License 4.0.

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