Efficient Validation of SHACL Shapes with Reasoning
Summary: Re-SHACL: combines targeted entailment-aware reasoning with entity merging to avoid full-materialization of inferred triples and produce a concise consolidated RDF graph for SHACL validation. Plug-in to existing validators for faster, more accurate reports. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jin Ke (Technical University of Munich)
- 2. Zenon Zacouris (Technical University of Munich)
- 3. Maribel Acosta (Technical University of Munich)
BibTeX Citation
@article{ke_vldb24,
title = {{Efficient Validation of SHACL Shapes with Reasoning}},
author = {Ke, Jin and Zacouris, Zenon and Acosta, Maribel},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {3589--3601},
doi = {10.14778/3681954.3682023},
url = {https://doi.org/10.14778/3681954.3682023},
year = {2024}
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 376 | Discovering Denial Constraints | 2013 | VLDB | 0.00019677674 |
| 1,399 | Computing Optimal Repairs for Functional Dependencies | 2018 | PODS | 0.00010893312 |
| 4,167 | Integrity Constraints for XML | 2000 | PODS | 6.8578387e-05 |
| 4,757 | Pattern Functional Dependencies for Data Cleaning | 2020 | VLDB | 6.5220005e-05 |
| 5,338 | On Repairing Structural Problems In Semi-structured Data | 2013 | VLDB | 6.2609275e-05 |
| 7,229 | Extraction of Validating Shapes from very large Knowledge Graphs | 2023 | VLDB | 5.66667e-05 |
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