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Semantator: Semantic annotator for converting biomedical text to linked data
2013
Journal of Biomedical Informatics
More than 80% of biomedical data is embedded in plain text. The unstructured nature of these text-based documents makes it challenging to easily browse and query the data of interest in them. One approach to facilitate browsing and querying biomedical text is to convert the plain text to a linked web of data, i.e., converting data originally in free text to structured formats with defined meta-level semantics. In this paper, we introduce Semantator (Semantic Annotator), a semantic-web-based
doi:10.1016/j.jbi.2013.07.003
pmid:23867104
pmcid:PMC4837761
fatcat:tg6z7opkgndlln4bhjetjppoqm