Abstract
In order to meet the needs of ordinary users’ fuzzy query, and to take into account of the complexity and precision rate of implemented system, this paper summarizes existed user-query-oriented theory and presents a method for fuzzy query based on PBFS and NQL language. This paper proposes a SQL language at first with simple, intuitive features; Secondly, we propose a PBFS algorithm which can automatically generate SPARQL in the system based on the fuzzy input, so as to obtain accurate results. This algorithm has low complexity, convenient input, high accuracy and other characteristics; Finally, this schema is verified through the experiments. The results of experiments show that this program can effectively improve the user search efficiency according to its accurate, complex characteristics.
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