Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/45502
Title: Postulates for Provenance: Instance-based provenance for first-order logic
Authors: Bogaerts, Bart
JAKUBOWSKI, Maxime 
VAN DEN BUSSCHE, Jan 
Issue Date: 2024
Publisher: 
Source: Proceedings of the ACM on Management of Data, 2 (2) (Art N° 95)
Abstract: Instance-based provenance is an explanation for a query result in the form of a subinstance of the database. We investigate different desiderata one may want to impose on these subinstances. Concretely we consider seven basic postulates for provenance. Six of them relate subinstances to provenance polynomials, three-valued semantics, and Halpern-Pearl causality. Determinism of the prove-nance mechanism is the seventh basic postulate. Moreover, we consider the postulate of minimality, which can be imposed with respect to any set of basic postulates. Our main technical contribution is an analysis and characterisation of which combinations of postulates are jointly satisfiable. Our main conceptual contribution is an approach to instance-based provenance through three-valued instances, which makes it applicable to first-order logic queries involving negation.
Keywords: First-order logic;query explanation;three-valued instance;prove- nance polynomial;causality;determinism;minimality
Document URI: http://hdl.handle.net/1942/45502
e-ISSN: 2836-6573
DOI: 10.1145/3651596
Category: A2
Type: Journal Contribution
Appears in Collections:Research publications

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