模糊RDF数据的一种查询语言扩展

A Query Language Extension of Fuzzy RDF Data

当前,在语义Web领域,由于信息资源量巨大,数据具有复杂性和广泛的连通性,因此对其进行有效查询是一个非常关键的问题。资源描述框架(RDF)是用于表示语义Web上资源信息的基于图形的标准数据模型,而Web中大部分资源都带有模糊性或不确定性,因此对经典RDF模型的模糊扩展已经被提出,以表达数据的模糊性。SPARQL是查询RDF数据的一种标准查询语言,传统的SPARQL缺乏一些针对数据模糊性的表达和有效查询的功能,因为它遵循的是对标准RDF数据的布尔查询。该文对SPARQL进行了模糊扩展,用于查询上述模糊数据模型,提高了SPARQL的表达能力和实用性。将模糊量词运用在查询当中,定义了模糊查询语言的语义和语法,并且给出评估它的方法。最后给出的具体的实现流程证明了它的可行性。

At present,in the field of semantic Web,due to the huge amount of information resources,data complexity and extensive connectivity,effective querying of the data is a very critical issue.The resource description framework(RDF)is a graphics-based standard data model for representing resource information on the semantic Web.Most of the resources in the Web are ambiguous or uncertain.Therefore,fuzzy extension of the classic RDF model has been proposed to express the fuzziness of the data.SPARQL is a query language for querying RDF data.Traditional SPARQL lacks some features for data ambiguity and efficient querying because it follows a Boolean query of standard RDF data.We perform a fuzzy extension on SPARQL to query the above fuzzy data model,improving the expression ability and practicability of SPARQL.We apply fuzzy quantifiers to queries,define the semantics and grammar of the fuzzy query language,and give a way to evaluate it.Finally,we give specific implementation operations to prove its feasibility.