A Coq formalization of data provenance
In: Certified Programs and Proofs ; https://hal.science/hal-03380459 ; Certified Programs and Proofs, ACM, Jan 2021, Virtual Event, Denmark. ⟨10.1145/3437992.3439920⟩ ; https://dl.acm.org/doi/proceedings/10.1145/3437992, 2021
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Zugriff:
International audience ; In multiple domains, large amounts of data are daily generated and combined to be analyzed. The interpretation of these analyses requires to track back the provenance of combined data with respect to initial, raw data. The correctness of the provenance is crucial in many critical domains, such as medicine to prescribe treatments. In this article, we propose the first provenance-aware extended relational algebra formalized in a proof assistant (Coq), for a non trivial subset of database queries: queries containing aggregates, null values, and correlated sub-queries. The formalization is validated by an adequacy proof with respect to standard evaluation of queries. This development is a first step towards a posteriori certification of provenance for data manipulation, with strong guaranties.
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A Coq formalization of data provenance
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Autor/in / Beteiligte Person: | Benzaken, Véronique ; Cohen-Boulakia, Sarah ; Contejean, Évelyne ; Keller, Chantal ; Zucchini, Rébecca ; Paris-Saclay, Université ; Centre National de la Recherche Scientifique (CNRS) ; Laboratoire Méthodes Formelles (LMF) ; Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay) ; École normale supérieure - Cachan (ENS Cachan) ; ACM ; Cătălin Hriţcu and Andrei Popescu ; ANR-15-CE39-0009,DataCert,Spécification intensive en Coq d'intégration de données orientée sécurité(2015) |
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Zeitschrift: | Certified Programs and Proofs ; https://hal.science/hal-03380459 ; Certified Programs and Proofs, ACM, Jan 2021, Virtual Event, Denmark. ⟨10.1145/3437992.3439920⟩ ; https://dl.acm.org/doi/proceedings/10.1145/3437992, 2021 |
Veröffentlichung: | HAL CCSD ; ACM, 2021 |
Medientyp: | Konferenz |
DOI: | 10.1145/3437992.3439920 |
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