Causes for Query Answers from Databases: Datalog Abduction, View-Updates, and Integrity Constraints
Bertossi, Leopoldo, Salimi, Babak
–arXiv.org Artificial Intelligence
Causality has been recently introduced in databases, to model, characterize, and possibly compute causes for query answers. Connections between QA-causality and consistency-based diagnosis and database repairs (wrt. integrity constraint violations) have already been established. In this work we establish precise connections between QA-causality and both abductive diagnosis and the view-update problem in databases, allowing us to obtain new algorithmic and complexity results for QA-causality. We also obtain new results on the complexity of view-conditioned causality, and investigate the notion of QA-causality in the presence of integrity constraints, obtaining complexity results from a connection with view-conditioned causality. The abduction connection under integrity constraints allows us to obtain algorithmic tools for QA-causality.
arXiv.org Artificial Intelligence
Jul-31-2017
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