SemCat: semantically categorized entities for genomics.
We describe the construction of a semantic database called SemCat consisting of a large number of semantically categorized names relevant to genomics. SemCat can be used to facilitate natural language processing in MEDLINE. We present suitable application areas including biomedical name classification and named entity recognition.
Tanabe
Lorraine
L
National Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894, USA.
Thom
Lynne H
LH
Matten
Wayne
W
Comeau
Donald C
DC
Wilbur
W John
WJ
D000465:Algorithms; D023281:Genomics; D016239:MEDLINE; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated; D012660:Semantics; D009626:Terminology as Topic