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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
0.00014903109
Overall Rank
672 | 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
1,844 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.5112726e-05
2,167 DIFF: A Relational Interface for Large-Scale Data Explanation 2019 VLDB 8.9166414e-05
2,170 Data Polygamy: The Many-Many Relationships among Urban Spatio-Temporal Data Sets 2016 SIGMOD 8.9149718e-05
2,233 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.7844607e-05
2,328 Causal Relational Learning 2020 SIGMOD 8.6206869e-05
2,373 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 8.5434538e-05
2,473 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.3984284e-05
2,610 Database Repairs and Consistent Query Answering: Origins and Further Developments 2019 PODS 8.2035758e-05
2,685 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 8.116387e-05
4,085 The Complexity of Resilience and Responsibility for Self-Join-Free Conjunctive Queries 2016 VLDB 6.7989526e-05
4,697 Provenance for Natural Language Queries 2017 VLDB 6.4479645e-05
4,742 Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances 2019 SIGMOD 6.4285195e-05
4,769 New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins 2020 PODS 6.4131333e-05
4,852 QFix: Diagnosing Errors through Query Histories 2017 SIGMOD 6.3680596e-05
4,865 High-Level Why-Not Explanations using Ontologies 2015 PODS 6.3619008e-05
4,871 Explaining Wrong Queries Using Small Examples 2019 SIGMOD 6.3583165e-05
4,943 Efficient Answering of Historical What-if Queries 2022 SIGMOD 6.3304729e-05
5,008 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.3049458e-05
5,174 CAPE: Explaining Outliers by Counterbalancing 2019 VLDB 6.2291886e-05
5,201 Explainable AI: Foundations, Applications, Opportunities for Data Management Research 2022 SIGMOD 6.2175939e-05
5,273 Enabling SQL-based Training Data Debugging for Federated Learning 2022 VLDB 6.1887043e-05
5,556 Putting Things into Context: Rich Explanations for Query Answers using Join Graphs 2021 SIGMOD 6.0705311e-05
5,570 Sommelier: Curating DNN Models for the Masses 2022 SIGMOD 6.0628752e-05
6,029 Perturbation Analysis of Database Queries 2016 VLDB 5.8912089e-05
6,450 Summarized Causal Explanations For Aggregate Views 2024 SIGMOD 5.7635046e-05
6,502 Approximate Summaries for Why and Why-not Provenance 2020 VLDB 5.7468661e-05
6,608 Explain3D: Explaining Disagreements in Disjoint Datasets 2019 VLDB 5.7187078e-05
6,718 Toward Interpretable and Actionable Data Analysis with Explanations and Causality 2022 VLDB 5.6843134e-05
6,728 Selective Provenance for Datalog Programs Using Top-K Queries 2015 VLDB 5.6812425e-05
6,753 On Multiple Semantics for Declarative Database Repairs 2020 SIGMOD 5.673161e-05
7,015 Video-zilla: An Indexing Layer for Large-Scale Video Analytics 2022 SIGMOD 5.6044008e-05
7,050 Explaining Inference Queries with Bayesian Optimization 2021 VLDB 5.5965026e-05
7,252 Hypothetical Reasoning via Provenance Abstraction 2019 SIGMOD 5.5583413e-05
7,404 Aggregated Deletion Propagation for Counting Conjunctive Query Answers 2021 VLDB 5.5178575e-05
7,443 A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations 2023 SIGMOD 5.5117047e-05
7,531 ExplainED: Explanations for EDA Notebooks 2020 VLDB 5.4858756e-05
7,722 Interactive Query Explanations Using Fine Grained Provenance 2022 SIGMOD 5.4538143e-05
8,375 FEDEX: An Explainability Framework for Data Exploration Steps 2022 VLDB 5.3280107e-05
8,505 Provenance-based Data Skipping 2022 VLDB 5.3126038e-05
8,788 Is Integer Linear Programming All You Need for Deletion Propagation? A Unified and Practical Approach for Generalized Deletion Propagation 2025 VLDB 5.263678e-05
8,910 DPXPlain: Privately Explaining Aggregate Query Answers 2023 VLDB 5.2369069e-05
9,044 LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers 2019 VLDB 5.2176863e-05
9,086 NLC: Search Correlated Window Pairs on Long Time Series 2022 VLDB 5.2094282e-05
9,090 Understanding Queries by Conditional Instances 2022 SIGMOD 5.2092307e-05
9,265 Causal DAG Summarization 2025 VLDB 5.1860131e-05
9,630 Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries 2020 SIGMOD 5.1363807e-05
9,925 TSExplain: Surfacing Evolving Explanations for Time Series 2021 SIGMOD 5.0975983e-05
9,990 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 5.0845476e-05
10,066 CaJaDE: Explaining Query Results by Augmenting Provenance with Context 2022 VLDB 5.074247e-05
10,223 Discovering Top-k Relevant and Diversified Rules 2024 SIGMOD 5.0460607e-05
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Outgoing Citations (Sorted by Pagerank)

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