摘要
现有的大多数本体都是通过手工构建的。本体的构建是一项费时费力的过程,特别在医学领域更是如此。对此,提出了基于中文分词和文本挖掘技术的自动领域本体构建方法,该方法能大大提高本体构建的效率,保证本体的构建质量。
Most of the existing ontologies are constructed by hand.Ontology construction is a time-consuming and resource-consuming process,especially in medical field.This paper presents the automatic domain ontology construction method based on Chinese word segmenting and text mining technologies,which can greatly improve the efficiency of ontology construction and ensure the quality of it.
出处
《计算机时代》
2010年第10期44-46,共3页
Computer Era
关键词
医学
本体
本体学习
文本挖掘
medical science
ontology
ontology learning
text mining
