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An Optimised Semantic Web Query Language Implementation in Prolog

机译:Prolog中优化的语义Web查询语言实现

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摘要

The Semantic Web is a rapidly growing research area aiming at the exchange of semantic information over the World Wide Web. The Semantic Web is built on top of RDF, an XML-based exchange language representing a triple-based data model. Higher languages such as the description logic based OWL language family are defined on top of RDF. Making inferences over triple collections is a promising application area for Prolog. In this article we study query translation and optimization in the context of the SeRQL RDF query language. Queries are translated to Prolog goals, which are optimised by reordering literals. We study the domain specific issues of this general problem. Conjunctions are often large, but the danger of poor performance of the optimiser can be avoided by exploiting the nature of the triple store. We discuss the optimisation algorithms as well as the information required from the low level storage engine.
机译:语义网是一个快速发展的研究领域,旨在通过万维网交换语义信息。语义网建立在RDF之上,RDF是一种基于XML的交换语言,代表一种基于三元组的数据模型。在RDF之上定义了高级语言,例如基于描述逻辑的OWL语言系列。对三重集合进行推断是Prolog的一个有前途的应用领域。在本文中,我们将在SeRQL RDF查询语言的上下文中研究查询转换和优化。查询将转换为Prolog目标,可​​通过重新排序文字对其进行优化。我们研究此一般问题的特定领域问题。结点通常很大,但是可以通过利用三重存储的性质来避免优化器性能不佳的危险。我们讨论了优化算法以及低级存储引擎所需的信息。

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