McCray Alexa T, Browne Allen C, Bodenreider Olivier
LHNCBC, National Library of Medicine, Bethesda, MD, USA.
Proc AMIA Symp. 2002:504-8.
The Gene Ontology (GO) is a construct developed for the purpose of annotating molecular information about genes and their products. The ontology is a shared resource developed by the GO Consortium, a group of scientists who work on a variety of model organisms. In this paper we investigate the nature of the strings found in the Gene Ontology and evaluate them for their usefulness in natural language processing (NLP). We extend previous work that identified a set of properties that reliably identifies natural language phrases in the Unified Medical Language System (UMLS). The results indicate that a large percentage (79%) of GO terms are potentially useful for NLP applications. Some 35% of the GO terms were found in a corpus derived from the MEDLINE bibliographic database, and 27% of the terms were found in the current edition of the UMLS.
基因本体论(Gene Ontology,GO)是为注释有关基因及其产物的分子信息而开发的一种构建体。该本体论是由基因本体论联盟(GO Consortium)开发的共享资源,该联盟由一群致力于各种模式生物研究的科学家组成。在本文中,我们研究了基因本体论中发现的字符串的性质,并评估它们在自然语言处理(NLP)中的有用性。我们扩展了先前的工作,该工作确定了一组能够可靠识别统一医学语言系统(UMLS)中自然语言短语的属性。结果表明,很大比例(79%)的GO术语可能对NLP应用有用。约35%的GO术语出现在源自MEDLINE文献数据库的语料库中,27%的术语出现在UMLS的当前版本中。