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A Formal Approach to Finding Explanations for Database Queries

Summary: Formal, intervention-based explanations for SQL query results, modeling how tuple deletions alter outputs under foreign-key interactions. Recursive rules compute interventions with polynomial data complexity; SQL-based top-K explanations under practical conditions, evaluated on real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hf227de9c66d0b52a
Venue
SIGMOD
Year
2014
Pagerank
0.00014954494
Overall Rank
670 | 95.50%
DOI
10.1145/2588555.2588578

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{roy_sigmod14,
        title = {{A Formal Approach to Finding Explanations for Database Queries}},
        author = {Roy, Sudeepa and Suciu, Dan},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2588578},
        url = {https://dl.acm.org/doi/10.1145/2588555.2588578},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 67 citing papers.

Rank Citing Paper Year Venue Pagerank
1,833 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.5405247e-05
2,153 Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets 2016 SIGMOD 8.9480694e-05
2,160 DIFF: A Relational Interface for Large-Scale Data Explanation 2019 VLDB 8.9364035e-05
2,222 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.8109051e-05
2,315 Causal Relational Learning 2020 SIGMOD 8.6532142e-05
2,371 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 8.5615698e-05
2,598 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.2385793e-05
2,613 Database Repairs and Consistent Query Answering: Origins and Further Developments 2019 PODS 8.2260448e-05
2,686 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 8.1308928e-05
4,062 The Complexity of Resilience and Responsibility for Self-Join-Free Conjunctive Queries 2016 VLDB 6.8247395e-05
4,687 Provenance for Natural Language Queries 2017 VLDB 6.4706848e-05
4,739 Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances 2019 SIGMOD 6.4441962e-05
4,747 New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins 2020 PODS 6.4374568e-05
4,827 QFix: Diagnosing Errors through Query Histories 2017 SIGMOD 6.3917868e-05
4,840 High-Level Why-Not Explanations using Ontologies 2015 PODS 6.3858476e-05
4,847 Explaining Wrong Queries Using Small Examples 2019 SIGMOD 6.3823876e-05
4,919 Efficient Answering of Historical What-if Queries 2022 SIGMOD 6.3544814e-05
4,982 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.328859e-05
5,151 CAPE: Explaining Outliers by Counterbalancing 2019 VLDB 6.2528145e-05
5,178 Explainable AI: Foundations, Applications, Opportunities for Data Management Research 2022 SIGMOD 6.2411759e-05
5,247 Enabling SQL-based Training Data Debugging for Federated Learning 2022 VLDB 6.2121767e-05
5,529 Putting Things into Context: Rich Explanations for Query Answers using Join Graphs 2021 SIGMOD 6.0935553e-05
5,553 Sommelier: Curating DNN Models for the Masses 2022 SIGMOD 6.0858703e-05
6,056 Perturbation Analysis of Database Queries 2016 VLDB 5.9016482e-05
6,436 Summarized Causal Explanations For Aggregate Views 2024 SIGMOD 5.7853643e-05
6,486 Approximate Summaries for Why and Why-not Provenance 2020 VLDB 5.7686627e-05
6,600 Explain3D: Explaining Disagreements in Disjoint Datasets 2019 VLDB 5.7403306e-05
6,699 Toward Interpretable and Actionable Data Analysis with Explanations and Causality 2022 VLDB 5.7058728e-05
6,708 Selective Provenance for Datalog Programs Using Top-K Queries 2015 VLDB 5.7027474e-05
6,728 On Multiple Semantics for Declarative Database Repairs 2020 SIGMOD 5.6946342e-05
7,009 Video-zilla: An Indexing Layer for Large-Scale Video Analytics 2022 SIGMOD 5.6222568e-05
7,028 Explaining Inference Queries with Bayesian Optimization 2021 VLDB 5.6177289e-05
7,234 Hypothetical Reasoning via Provenance Abstraction 2019 SIGMOD 5.5792063e-05
7,383 Aggregated Deletion Propagation for Counting Conjunctive Query Answers 2021 VLDB 5.5387855e-05
7,419 A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations 2023 SIGMOD 5.5326094e-05
7,508 ExplainED: Explanations for EDA Notebooks 2020 VLDB 5.5066763e-05
7,703 Interactive Query Explanations Using Fine Grained Provenance 2022 SIGMOD 5.4744994e-05
8,355 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.3482186e-05
8,495 Provenance-based Data Skipping 2022 VLDB 5.3304338e-05
8,761 Is Integer Linear Programming All You Need for Deletion Propagation? A Unified and Practical Approach for Generalized Deletion Propagation 2025 VLDB 5.283642e-05
8,881 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 5.2567693e-05
9,015 LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers 2019 VLDB 5.2374759e-05
9,058 NLC: Search Correlated Window Pairs on Long Time Series 2022 VLDB 5.2291864e-05
9,061 Understanding Queries by Conditional Instances 2022 SIGMOD 5.2289882e-05
9,231 Causal DAG Summarization 2025 VLDB 5.2056825e-05
9,596 Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries 2020 SIGMOD 5.1558618e-05
9,884 TSExplain: Surfacing Evolving Explanations for Time Series 2021 SIGMOD 5.1169323e-05
9,949 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 5.1038322e-05
10,023 CaJaDE: Explaining Query Results by Augmenting Provenance with Context 2022 VLDB 5.0934925e-05
10,186 Discovering Top-k Relevant and Diversified Rules 2024 SIGMOD 5.0651993e-05
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