A Framework of Chinese Semantic Text Mining Based on Ontology Learning

摘要：

Text mining and ontology learning can be effectively employed to acquire the Chinese semantic information. This paper explores a framework of semantic text mining based on ontology learning to find the potential semantic knowledge from the immensity text information on the Internet. This framework consists of four parts: Data Acquisition, Feature Extraction, Ontology Construction, and Text Knowledge Pattern Discovery. Then the framework is applied into an actual case to try to find out the valuable information, and even to assist the consumers with selecting proper products. The results show that this framework is reasonable and effective.

关键词： Text Mining Semantic Mining Ontology Learning

作者: Yu-feng Zhang Feng Hu

作者单位: Center for Studies of Information Resources, Wuhan University Wuhan, P. R. China

会议类型: 国际会议

会议名称: 2010 International Conference on Software and Computing Technology(2010年软件与计算机技术国际会议 ICSCT 2010)

会议地点: 昆明

会议语种:英文

页码: 670-673

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）