Complexity of Consistent Query Answering in Databases under Cardinality-Based and Incremental Repair Semantics
Andrei Lopatenko, Leopoldo Bertossi
Abstract
Consistent Query Answering (CQA) is the problem of computing from a database the answers to a query that are consistent with respect to certain integrity constraints that the database, as a whole, may fail to satisfy. Consistent answers have been characterized as those that are invariant under certain minimal forms of restoration of the database consistency. We investigate algorithmic and complexity theoretic issues of CQA under database repairs that minimally depart -wrt the cardinality of the symmetric difference- from the original database. We obtain first tight complexity bounds. We also address the problem of incremental complexity of CQA, that naturally occurs when an originally consistent database becomes inconsistent after the execution of a sequence of update operations. Tight bounds on incremental complexity are provided for various semantics under denial constraints. Fixed parameter tractability is also investigated in this dynamic context, where the size of the update sequence becomes the relevant parameter.
Create a lesson
Related papers
Compositional Online Learning for Semantic Data Processing Systems
Paweł Liskowski, Fuheng Zhao, Benjamin Han et al.
Incremental Delta-Shapley: A Standalone Runtime for Predicate Attribution on Sliding Windows
Pouya Khani, Ira Assent
Size Bounds for CQs Under Acyclic Constraints
Stefan Mengel, Andrei Romashchenko
IBLTs Measure Before They Decode: Self-Sizing Set Reconciliation from Pre-Peeling Counts
Min Wu, Ji Qi, Chengdui Luo et al.
VoS: Variate Ordering Strategies for Skyline Query Optimization
Abhinav Gorantla, Pratanu Mandal, K. Selçuk Candan et al.
Realistic Counterfactual Explanations via Denial Constraints
Avia Asael, Nave Frost, Amir Gilad et al.