Abstract
Due to the rapid expansion of multilingual data on the web, development of approaches to enrich ontologies has become an interesting and active subject of research. In this paper, we propose a cross-lingual matching approach for ontology enrichment (OECM) in order to enrich an ontology using another one in a different natural language. A prototype for the proposed approach has been implemented and evaluated using the MultiFarm benchmark. Evaluation results show higher precision and recall in comparison to other four state-of-the-art approaches.
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References
Ali, M., Fathalla, S., Ibrahim, S., Kholief, M., Hassan, Y.: Cross-lingual ontology enrichment based on multi-agent architecture. Proc. Comput. Sci. 137, 127–138 (2018)
Cheatham, M., Hitzler, P.: String similarity metrics for ontology alignment. In: Alani, H., et al. (eds.) ISWC 2013. LNCS, vol. 8219, pp. 294–309. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-41338-4_19
Faria, D., et al.: Results of AML participation in OAEI 2018. In: Proceedings of the 13th International Workshop on Ontology Matching, pp. 125–131. CEUR-WS (2018)
Fathalla, S., Vahdati, S., Auer, S., Lange, C.: The scientific events ontology of the openresearch.org curation platform. In: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, pp. 2311–2313. ACM (2019)
Jiménez-Ruiz, E., Grau, V.C.: LogMap family participation in the OAEI 2018. In: Proceedings of the 13th International Workshop on Ontology Matching, pp. 187–191. CEUR-WS (2018)
Kachroudi, M., Diallo, G., Yahia, S.B.: OAEI 2018 results of KEPLER. In: Proceedings of the 13th International Workshop on Ontology Matching, pp. 173–178. CEUR-WS (2018)
Petasis, G., Karkaletsis, V., Paliouras, G., Krithara, A., Zavitsanos, E.: Ontology population and enrichment: state of the art. In: Paliouras, G., Spyropoulos, C.D., Tsatsaronis, G. (eds.) Knowledge-Driven Multimedia Information Extraction and Ontology Evolution. LNCS (LNAI), vol. 6050, pp. 134–166. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20795-2_6
Trojahn, C., Fu, B., Zamazal, O., Ritze, D.: State-of-the-art in multilingual and cross-lingual ontology matching. In: Buitelaar, P., Cimiano, P. (eds.) Towards the Multilingual Semantic Web, pp. 119–135. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-43585-4_8
Djeddi, W.E., Yahia, S.B., Khadir, M.T.: XMap results for OAEI 2018. In: Proceedings of the 13th International Workshop on Ontology Matching, pp. 210–215. CEUR-WS (2018)
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Ibrahim, S., Fathalla, S., Yazdi, H.S., Lehmann, J., Jabeen, H. (2019). OECM: A Cross-Lingual Approach for Ontology Enrichment. In: Hitzler, P., et al. The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019. Lecture Notes in Computer Science(), vol 11762. Springer, Cham. https://doi.org/10.1007/978-3-030-32327-1_20
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DOI: https://doi.org/10.1007/978-3-030-32327-1_20
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