The BioLexicon: a large-scale terminological resource for biomedical text mining

Background Due to the rapidly expanding body of biomedical literature, biologists require increasingly sophisticated and efficient systems to help them to search for relevant information. Such systems should account for the multiple written variants used to represent biomedical concepts, and allow t...

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Veröffentlicht in:	BMC Bioinformatics Jg. 12; H. 1; S. 397
Hauptverfasser:	Thompson, Paul, McNaught, John, Montemagni, Simonetta, Calzolari, Nicoletta, del Gratta, Riccardo, Lee, Vivian, Marchi, Simone, Monachini, Monica, Pezik, Piotr, Quochi, Valeria, Rupp, CJ, Sasaki, Yutaka, Venturi, Giulia, Rebholz-Schuhmann, Dietrich, Ananiadou, Sophia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer Science and Business Media LLC 12.10.2011 BioMed Central BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Algorithms Biochemistry Bioinformatics Biology (General) Biomedical and Life Sciences Computational Biology Computational Biology/Bioinformatics computational lexicography Computational Lexicon Computer Appl. in Life Sciences Computer applications to medicine. Medical informatics Computer Science Applications Data Mining Databases, Factual Humans Indexing in process Information Extraction Information management lexical standards Life Sciences Medical sciences Microarrays Molecular Biology named entity recognition Networks analysis QH301-705.5 R858-859.7 Research Article Semantics terminography Terminology Text Mining Vocabulary, Controlled Biomedical Domain Text Mining Biomedical Text Semantic Role Name Entity Recognition
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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