Getting to the (C)ore of Knowledge: Mining Biomedical Literature

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TypeArticle
Journal titleInternational Journal of Medical Informatics
Volume67
Issue1-3
Pages718; # of pages: 11
SubjectNatural language processing; Medline; Molecular biology; Knowledge acquisition (computer); Semantics; Indexing and abstracting
AbstractLiterature mining is the process of extracting and combining facts from scientific publications. In recent years, many computer programs have been designed to extract various molecular biology findings from Medline abstracts or full text articles. The present article describes the range of text mining techniques that have been applied to scientific documents. It divides 'automated reading' into four general subtasks: text categorization, named entity tagging, fact extraction, and collection-wide analysis. Literature mining offers powerful methods to support knowledge discovery and the construction of topic maps and ontologies. An overview is given of recent developments in medical language processing. Special attention is given to the domain particularities of molecular biology, and the emerging synergy between literature mining and molecular databases accessible through Internet.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number45880
NPARC number8913276
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Record identifier6a2301f4-98a6-4b7e-8b4d-3f2544a0e4df
Record created2009-04-22
Record modified2016-05-09
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