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An Algorithm Based on Grammatical Evolution for Discovering SHACL Constraints

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Genetic Programming (EuroGP 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14631))

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Abstract

The continuous evolution of heterogeneous RDF data has led to an increase of inconsistencies on the Web of data (i.e. missing data and errors) that we assume to be inherent to RDF data graphs. To improve their quality, the W3C recommendation SHACL allows to express various constraints that RDF data must conform to and detect nodes violating them. However, acquiring representative and meaningful SHACL constraints from complex and very large RDF data graphs is very challenging and tedious. Consequently, several recent works focus on the automatic generation of these constraints. We propose an approach based on grammatical evolution (GE) for extracting representative SHACL constraints by mining an RDF data graph. This approach uses a probabilistic SHACL validation framework to consider the inherent errors in RDF data. The results highlight the relevance of this approach in discovering SHACL shapes inspired by association rule patterns from a real-world RDF data graph.

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Notes

  1. 1.

    https://lod-cloud.net/.

  2. 2.

    Or <http://www.w3.org/ns/shacl#NodeShape>.

  3. 3.

    https://github.com/Wimmics/CovidOnTheWeb.

  4. 4.

    https://www.wikidata.org/wiki/Wikidata:Main_Page.

  5. 5.

    https://en.wikipedia.org/wiki/Chemokine.

  6. 6.

    https://github.com/RemiFELIN/RDFMining/tree/eurogp_2024.

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Acknowledgements

This work has been partially founded by the 3IA Côte d’Azur “Investments in the Future” project managed by the National Research Agency (ANR) with the reference number ANR-19-P3IA-0002.

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Authors and Affiliations

  1. Université Côte d’Azur, Inria, CNRS, I3S, Sophia-Antipolis, Nice, France

    Rémi Felin, Pierre Monnin, Catherine Faron & Andrea G. B. Tettamanzi

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  1. Rémi Felin
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  2. Pierre Monnin
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  3. Catherine Faron
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  4. Andrea G. B. Tettamanzi
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Correspondence to Rémi Felin .

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Editors and Affiliations

  1. University of Torino, Grugliasco, Italy

    Mario Giacobini

  2. Victoria University of Wellington, Wellington, New Zealand

    Bing Xue

  3. University of Trieste, Trieste, Italy

    Luca Manzoni

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Felin, R., Monnin, P., Faron, C., Tettamanzi, A.G.B. (2024). An Algorithm Based on Grammatical Evolution for Discovering SHACL Constraints. In: Giacobini, M., Xue, B., Manzoni, L. (eds) Genetic Programming. EuroGP 2024. Lecture Notes in Computer Science, vol 14631. Springer, Cham. https://doi.org/10.1007/978-3-031-56957-9_11

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  • DOI: https://doi.org/10.1007/978-3-031-56957-9_11

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  • Online ISBN: 978-3-031-56957-9

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