Study of Intelligent Question Answering System Based on Ontology

摘要：

This paper designs an intelligent question answering system (IQAS) by the way of combining ontology and search engine. The system can help users to obtain more accurate answer, it raises the issue of user word segmentation and keyword extraction, and searches keyword-related information on the web, then returns results and saves them to the database, this makes users extract easily. It is found out through the search the results is more concrete than before, the users have more choices.

关键词： IQAS ontology word segmentation

作者: Jin Xu Yunqing Li

作者单位: College of Computer and Information Engineering 2007 postgraduate Jiangxi Normal University, Nanchan College of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Technology and Industrial Engineering(2010年信息技术与工业工程国际学术会议 ITIE 2010)

会议地点: 武汉

会议语种:英文

页码: 893-896

在线出版日期: 2010-06-06（万方平台首次上网日期，不代表论文的发表时间）