一种基于语义的RDF近似查询方法

RDF Approximate Query Approach Based on Semantics

针对返回结果为空或甚少的情况,提出RDF查询松弛和同源词替换相结合的方法:通过RDFS蕴含规则对初始查询进行松弛,选取合适的松弛查询进行同源词替换得到更多的查询结果。为了返回与初始查询在语义上相近的结果,提出面向RDF的语义距离概念,即通过语义距离的计算选取与初始查询在语义上相近的结果。在上述查询策略的基础上,给出基于语义的RDF近似查询处理的算法,通过实验验证了所提方法的可行性,并与现有的RDF查询方法进行了比较。实验结果表明,所提方法在查准率以及查全率方面均具有一定的优越性。

To handle the problem of empty or few answers returned from RDF in response to a user query and the prob= lena of synonyms in RDF queries, an approximate query approach by combining query relaxation and replacement with kinship words was proposed. RDF entailment to triple patterns is applied on the original query to relax it and then ap- propriate queries are chosen for replacement of kinship words so that more results can be obtained. The notion of se- mantic distance was introduced. The results that are semantically close to the original query can be determined. An ap- proxiamate query algorithm based on semantics was hereby developed. The proposed approach was verified with experi- ments and it has good performances in its recall and precision.