DocumentCode
2735187
Title
Identifying gene ontology concepts in natural-language text
Author
Crangle, C.E. ; Zbyslaw, A.
Author_Institution
ConverSpeech LLC, Palo Alto, CA, USA
Volume
2
fYear
2004
fDate
1-5 Sept. 2004
Firstpage
2821
Lastpage
2823
Abstract
Gene-related discoveries are appearing in increasing volume in the scientific literature. The gene ontology (GO) provides standard ways of describing gene-related information, but GO terms seldom appear in their exact form in natural-language text. This paper describes a new tool, a biomedical text analyzer, for extracting GO terms and their variants from biomedical text.
Keywords
biology computing; genetics; medical information systems; natural languages; ontologies (artificial intelligence); text analysis; biomedical text analyzer; gene ontology; gene-related discoveries; natural-language text; Bioinformatics; Chemicals; Data mining; Drugs; Genomics; Impedance matching; Natural languages; Ontologies; Standards development; Vocabulary; gene ontology; natural language; text;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-8439-3
Type
conf
DOI
10.1109/IEMBS.2004.1403805
Filename
1403805
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