Fuzzy keywords query

Abstract

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.