Fuzzy Keywords Query

摘要：

　　Considering advantages and disadvantages of search engines and SQL query of keywords search,we propose a novel method of constructing fuzzy ontology model combining ontology with fuzzy sets.We introduce membership functions and the fuzzy operator,then expand semantic keywords based on the semantic synonym dictionary.To process query effectively,we design an optimized storage structure based on B* tree.Some techniques,such as index mechanism,are used in our system.Based on these techniques,we propose a top-k query which uses dynamic filtering to accelerate processes.We experimentally demonstrate the accuracy and efficiency of the methods.

作者: Shanshan Han Hongzhi Wang Hong Gao Jianzhong Li Shenbin Huang

作者单位: Harbin Institute of Technology,Harbin 150001,Heilongjiang,China

会议类型: 国际会议

会议名称: International Asia-Pacific Web Conference(第18届国际亚太互联网大会)

会议地点: 苏州

会议语种:英文

页码: 251-262

在线出版日期: 2016-09-23（万方平台首次上网日期，不代表论文的发表时间）