Title :
Identifying gene ontology concepts in natural-language text
Author :
Crangle, C.E. ; Zbyslaw, A.
Author_Institution :
ConverSpeech LLC, Palo Alto, CA, USA
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;
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
DOI :
10.1109/IEMBS.2004.1403805
