Text mining and ontologies in biomedicine: Making sense of raw text

I. Spasic, S. Ananiadou, J. McNaught, A. Kumar
2005 Briefings in Bioinformatics  
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, which
more » ... terms to domain-specific concepts. This paper summarises different approaches in which ontologies have been used for text-mining applications in biomedicine.
doi:10.1093/bib/6.3.239 pmid:16212772 fatcat:ehw3jx2imze2xd2vfe4nuaqcgy