关于单例属性三元组语句的RDF语句推理
On Reasoning with RDF Statements about Statements using Singleton Property Triples
摘要：
Singleton Property（SP）方法已经被提出来表示和查询RDF三元组的元数据，例如出处、时间、位置和证据。在这种方法中，创建一个单例属性来唯一地表示特定上下文中的关系，并且通常在模式中生成一个大的属性层次结构。它已经成为语义网从业者提出的重要问题的主题。现有的推理机可以识别单例属性三元组吗？怎么做？如果单例属性三元组描述了一个数据三元组，那么推理机如何从单例属性三元组中推断出这个数据三元组呢？或者，庞大的财产等级制度会在某种程度上影响推理者吗？我们在本文中解决这些问题，并提出我们的研究单例属性的推理方面。我们提出了一个简单的机制，使现有的推理机识别的单例属性三元组，以及推断的数据三元组所描述的单例属性三元组。我们评估的效果的单例属性三元组的推理过程中，通过比较RDF数据集上的性能与无单例属性。我们的评估使用作为基准的LUBM数据集和LUBM-SP数据集从LUBM与通过单例属性添加的时间信息。
英文摘要：
The Singleton Property (SP) approach has been proposed for representing and querying metadata about RDF triples such as provenance, time, location, and evidence. In this approach, one singleton property is created to uniquely represent a relationship in a particular context, and in general, generates a large property hierarchy in the schema. It has become the subject of important questions from Semantic Web practitioners. Can an existing reasoner recognize the singleton property triples? And how? If the singleton property triples describe a data triple, then how can a reasoner infer this data triple from the singleton property triples? Or would the large property hierarchy affect the reasoners in some way? We address these questions in this paper and present our study about the reasoning aspects of the singleton properties. We propose a simple mechanism to enable existing reasoners to recognize the singleton property triples, as well as to infer the data triples described by the singleton property triples. We evaluate the effect of the singleton property triples in the reasoning processes by comparing the performance on RDF datasets with and without singleton properties. Our evaluation uses as benchmark the LUBM datasets and the LUBM-SP datasets derived from LUBM with temporal information added through singleton properties.
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