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Consistent Query Answering over SHACL Constraints

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arxiv 2406.16653 v3 pith:SDOKT2L5 submitted 2024-06-24 cs.CC

classification cs.CC
keywords shaclshapesgraphlanguagequeryansweringconsistentconstraint
verification ladder T0 review T1 audit T2 compute T3 formal
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The Shapes Constraint Language (SHACL) was standardized by the World Wide Web as a constraint language to describe and validate RDF data graphs. SHACL uses the notion of shapes graph to describe a set of shape constraints paired with targets, that specify which nodes of the RDF graph should satisfy which shapes. An important question in practice is how to handle data graphs that do not validate the shapes graph. A solution is to tolerate the non-validation and find ways to obtain meaningful and correct answers to queries despite the non-validation. This is known as consistent query answering (CQA) and there is extensive literature on CQA in both the database and the KR setting. We study CQA in the context of SHACL for a fundamental fragment of the Semantic Web query language SPARQL. The goal of our work is a detailed complexity analysis of CQA for various semantics and possible restrictions on the acceptable repairs. It turns out that all considered variants of the problem are intractable, with complexities ranging between the first and third level of the polynomial hierarchy.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. xpSHACL: Explainable SHACL Validation using Retrieval-Augmented Generation and Large Language Models

    cs.DB 2025-07 conditional novelty 6.0 of 10

    xpSHACL combines a rule-based trace of why a SHACL constraint failed with RAG and an LLM to generate human-readable, cached explanations for RDF validation violations.

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