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摘要

在RDF图的约束语言(如ShEx和SHACL)中,节点及其属性的约束被称为“形状”。利用SHACL,我们提出了满足图𝐺中给定形状的节点𝑣邻域的概念。这个邻域是𝐺的子图,并为给定形状提供𝑣的数据来源。通过证明邻域符合数据库查询的来源语义的充分性要求,我们为获得的来源机制建立了一个正确性属性。作为一个额外的好处,邻域允许对形状进行新的使用:从RDF图中提取子图,即所谓的形状片段。我们将形状片段与SPARQL查询进行比较。我们讨论了计算邻域的实现策略,并提出了初步的实验来证明我们的想法是可行的。
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Data Provenance for SHACL
In constraint languages for RDF graphs, such as ShEx and SHACL, constraints on nodes and their properties are known as “shapes”. Using SHACL, we propose in this paper the notion of neighborhood of a node 𝑣 satisfying a given shape in a graph 𝐺 . This neighborhood is a subgraph of 𝐺 , and provides data provenance of 𝑣 for the given shape. We establish a correctness property for the obtained provenance mechanism, by proving that neighborhoods adhere to the Sufficiency requirement articulated for provenance semantics for database queries. As an additional benefit, neighborhoods allow a novel use of shapes: the extraction of a subgraph from an RDF graph, the so-called shape fragment. We compare shape fragments with SPARQL queries. We discuss implementation strategies for computing neighborhoods, and present initial experiments demonstrating that our ideas are fea-sible.
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