Complexity of Consistent Query Answering in Databases under Cardinality-Based and Incremental Repair Semantics (extended version)
Not on the map. Why?
Abstract (arXiv)
A database D may be inconsistent wrt a given set IC of integrity constraints. Consistent Query Answering (CQA) is the problem of computing from D the answers to a query that are consistent wrt IC . Consistent answers are invariant under all the repairs of D, i.e. the consistent instances that minimally depart from D. Three classes of repair have been considered in the literature: those that minimize set-theoretically the set of tuples in the symmetric difference; those that minimize the changes of attribute values, and those that minimize the cardinality of the set of tuples in the symmetric difference. The latter class has not been systematically investigated. In this paper we obtain algorithmic and complexity theoretic results for CQA under this cardinality-based repair semantics. We do this in the usual, static setting, but also in a dynamic framework where a consistent database is affected by a sequence of updates, which may make it inconsistent. We also establish comparative results with the other two kinds of repairs in the dynamic case.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 May 2016.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 1; 2023: 2; 2024: 3; 2025: 2; 2026: 2.
12 papers.
- 2023From Database Repairs to Causality in Databases and Beyondcited by 3
- 2021Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysiscited by 2
- 2023Attribution-Scores in Data Management and Explainable Machine Learningcited by 2
- 2024Cost-Based Semantics for Querying Inconsistent Weighted Knowledge Basescited by 2
- 2022On the complexity of finding set repairs for data-graphscited by 1
- 2025A Rule-Based Approach to Specifying Preferences over Conflicting Facts and Querying Inconsistent Knowledge Basescited by 1
- 2025Sufficient Explanations in Databases and their Connections to Database Repairscited by 1
- 2021Second-Order Specifications and Quantifier Elimination for Consistent Query Answering in Databasescited by 0
- 2024Consistent Query Answering for Existential Rules with Closed Predicatescited by 0
- 2024Computational Complexity of Preferred Subset Repairs on Data-Graphscited by 0
- 2026Inconsistent Databases and Argumentation Frameworks with Collective Attackscited by 0
- 2026Reconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanationscited by 0
- 2026Reconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanations9 May 2026
- 2026Inconsistent Databases and Argumentation Frameworks with Collective Attacks5 May 2026
- 2025Sufficient Explanations in Databases and their Connections to Database Repairs19 Nov 2025
- 2025A Rule-Based Approach to Specifying Preferences over Conflicting Facts and Querying Inconsistent Knowledge Bases11 Aug 2025
- 2024Cost-Based Semantics for Querying Inconsistent Weighted Knowledge Bases30 Jul 2024
- 2024Computational Complexity of Preferred Subset Repairs on Data-Graphs14 Feb 2024
- 2024Consistent Query Answering for Existential Rules with Closed Predicates11 Jan 2024
- 2023Attribution-Scores in Data Management and Explainable Machine Learning31 Jul 2023
- 2023From Database Repairs to Causality in Databases and Beyond15 Jun 2023
- 2022On the complexity of finding set repairs for data-graphs15 Jun 2022
- 2021Second-Order Specifications and Quantifier Elimination for Consistent Query Answering in Databases19 Aug 2021
- 2021Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis19 Jun 2021