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Over the recent years, ontologies are widely used in various domains such as medical records annotation, medical knowledge representation and sharing, clinical guideline management, and medical decision-making. To implement the cooperation between intelligent applications based on biomedical ontologies, it is crucial to establish correspondences between the heterogeneous biomedical concepts in different ontologies, which is so-called biomedical ontology matching. Although Evolutionarydoi:10.1155/2018/2309587 pmid:30405706 pmcid:PMC6199880 fatcat:3banmvgle5gzhputmvdd3tgfee