摘要
本体研究已成为计算机领域的一个研究热点,而本体学习又是本体研究的热点问题之一。文章根据数据源的结构化程度,将数据源分为结构化、非结构化和半结构化数据源,分别研究了如何从这三种不同程度结构化的数据源中学习本体,探讨了后续研究工作的本体学习方法以及研究目标,并论述了目前研究存在的不足及对未来的展望。
Ontology research is gradually becoming a hotspot in the field of computer science, and ontology learning is one of the hotspots in ontology research. The data sources are divided into structured, non-structured and semi-structured according to their structured degrees. How to learn the ontology from these three data sources is respectively researched, the ontology learning method and research target in the following work are discussed, and the problems of current research and future direction are pointed out.
出处
《计算机时代》
2010年第8期10-13,共4页
Computer Era
基金
湖南文理学院科研项目(JJYB0913)
关键词
本体
本体学习
概念
映射规则
ontology
ontology learning
concept
mapping rule
