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RDFminer: An Interactive Tool for the Evolutionary Discovery of SHACL Shapes

  • Conference paper
  • First Online:
The Semantic Web: ESWC 2024 Satellite Events (ESWC 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15344))

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  • 4 Accesses

Abstract

RDFminer is an open source Web application to automatically discover SHACL shapes through an evolutionary process. It takes an RDF data graph as input, from which shapes are mined and assessed using a probabilistic validation framework. The user can interact with RDFminer through a dashboard where they can launch and monitor the mining of shapes, and analyse the results in real time.

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Notes

  1. 1.

    Probabilistic SHACL vocabulary: http://ns.inria.fr/probabilistic-shacl/.

  2. 2.

    User guide: https://github.com/Wimmics/RDFminer/tree/main/RDFminer-core.

  3. 3.

    Source code: https://github.com/Wimmics/RDFminer.

  4. 4.

    Web application: https://ns.inria.fr/rdfminer/.

  5. 5.

    Tutorial video: https://ns.inria.fr/rdfminer/tutorial.

References

  1. Cérès, R., et al.: Corese (2023). https://project.inria.fr/corese/

  2. Felin, R., et al.: A framework to include and exploit probabilistic information in SHACL validation reports. ESWC (2023)

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  3. Felin, R., et al.: An algorithm based on grammatical evolution for discovering SHACL constraints. EuroGP (2024)

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  4. O’Neill, M., et al.: GEVA - Grammatical Evolution in Java (2011)

    Google Scholar 

  5. Rabbani, K., Lissandrini, M., Hose, K.: SHACL and SHEx in the wild: a community survey on validating shapes generation and adoption. In: WWW (Companion Volume) (2022)

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Acknowledgements

This work has been partially funded 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.

Author information

Authors and Affiliations

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

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

Authors
  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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Corresponding author

Correspondence to Rémi Felin .

Editor information

Editors and Affiliations

  1. King’s College London, London, UK

    Albert Meroño Peñuela

  2. Universidad Politécnica de Madrid, Madrid, Spain

    Oscar Corcho

  3. University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands

    Paul Groth

  4. King’s College London, London, UK

    Elena Simperl

  5. University of Liverpool, Liverpool, UK

    Valentina Tamma

  6. National Research Council, Bologna, Italy

    Andrea Giovanni Nuzzolese

  7. Universidad Politécnica de Madrid, Madrid, Spain

    Maria Poveda-Villalón

  8. Vienna University of Economics and Business, Vienna, Austria

    Marta Sabou

  9. University of Bologna, Bologna, Italy

    Valentina Presutti

  10. Cefriel - Politecnico Di Milano, Milan, Italy

    Irene Celino

  11. Semantic Web Company, Vienna, Austria

    Artem Revenko

  12. University of Paris-Saclay, Gif-sur-Yvette, France

    Joe Raad

  13. Ludwig-Maximilians-Universität München, Munich, Germany

    Bruno Sartini

  14. EURECOM, Biot, France

    Pasquale Lisena

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Felin, R., Monnin, P., Faron, C., Tettamanzi, A.G.B. (2025). RDFminer: An Interactive Tool for the Evolutionary Discovery of SHACL Shapes. In: Meroño Peñuela, A., et al. The Semantic Web: ESWC 2024 Satellite Events. ESWC 2024. Lecture Notes in Computer Science, vol 15344. Springer, Cham. https://doi.org/10.1007/978-3-031-78952-6_28

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  • DOI: https://doi.org/10.1007/978-3-031-78952-6_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-78951-9

  • Online ISBN: 978-3-031-78952-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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