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The volume of biomedical literature is increasing at such a rate that it is becoming difficult to locate, retrieve and manage the reported information without text mining, which aims to automatically distill information, extract facts, discover implicit links and generate hypotheses relevant to user needs. Ontologies, as conceptual models, provide the necessary framework for semantic representation of textual information. The principal link between text and an ontology is terminology, whichdoi:10.1093/bib/6.3.239 pmid:16212772 fatcat:ehw3jx2imze2xd2vfe4nuaqcgy