Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40241
Title: Data Provenance for SHACL
Authors: Delva, Thomas
Dimou, Anastasia
JAKUBOWSKI, Maxime 
VAN DEN BUSSCHE, Jan 
Issue Date: 2023
Publisher: OpenProceedings.org
Source: Stoyanovich, Julia; Teubner, Jens; Mamoulis, Nikos; Pitoura, Evaggelia; Mühlig, Jan; Hose, Katja; Bhowmick, Sourav S.; Lissandrini, Matteo (Ed.). 26th International Conference on Extending Database Technology (EDBT 2023), OpenProceedings.org, p. 285 -297 (Art N° 4)
Series/Report: Advances in Database Technology
Series/Report no.: 26
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.
Keywords: Database Technology
Document URI: http://hdl.handle.net/1942/40241
Link to publication/dataset: https://openproceedings.org/2023/conf/edbt/paper-3.pdf
ISBN: 9783893180882
DOI: 10.48786/edbt.2023.23
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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