Natural Language Processing Based Ontology Learning

摘要：

Though the utility of domain Ontologies is now widely acknowledged in an increasing number of domains, a critical task of identifying, defining, and entering the concept definitions is still intractable. Nowadays, natural language becomes a more and more important information source, and natural language processing (NLP) becomes more and more practical. To reduce time, cost and making use of NLP, it is highly advisable to refer, in constructing or updating an ontology, to the documents available in the field. In this paper we describe NLTPOnto, a natural language processing based tool is devised to help people to semi-automatically construct ontology.

关键词： ontology learning natural language processing dependency relation syntactic pattern

作者: Chengxiang Yuan Yi Zhuang Xiaojun Li

作者单位: ZheJiang Gongshang University Hangzhou, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 700-704

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）