Ibrahim, S.S.IbrahimFathalla, SaidSaidFathallaYazdi, Hamed ShariatHamed ShariatYazdiLehmann, JensJensLehmannJabeen, HajiraHajiraJabeen2022-03-142022-03-142019https://publica.fraunhofer.de/handle/publica/41043410.1007/978-3-030-32327-1_20Due 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.en005006629conference paper