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Data Provenance for SHACL.

Authors: Thomas Delva; Anastasia Dimou; Maxime Jakubowski; Jan Van den Bussche;

Data Provenance for SHACL.

Abstract

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 feasible.

Country
Belgium
Keywords

Technology and Engineering, Database Technology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green