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Un cadre pour inclure et exploiter des informations probabilistes dans les rapports de validation SHACL

Rémi Felin, Catherine Faron, Andrea Tettamanzi. Un cadre pour inclure et exploiter des informations probabilistes dans les rapports de validation SHACL. In Cássia Trojahn, editor, 34es Journées francophones d'Ingénierie des Connaissances, IC 2023, @ Plate-Forme Intelligence Artificielle, PFIA 2023, Strasbourg, France, July 05-07, 2023. pages 91-98, PFIA, 2023.

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