Approximate Summaries for Why and Why-not Provenance
Summary: Proposes approximate summarization of why/why-not provenance via pattern encodings to compress provenance. Adds sampling for scalable capture and concise, informative summaries on large datasets, balancing informativeness, conciseness, and completeness. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Seokki Lee (Illinois Institute of Technology)
- 2. Bertram Ludäscher (University of Illinois Urbana-Champaign)
- 3. Boris Glavic (Illinois Institute of Technology)
BibTeX Citation
@article{lee_vldb20,
title = {{Approximate Summaries for Why and Why-not Provenance}},
author = {Lee, Seokki and Ludäscher, Bertram and Glavic, Boris},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {6},
pages = {912--924},
doi = {10.14778/3380750.3380760},
url = {https://doi.org/10.14778/3380750.3380760},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,533 | Putting Things into Context: Rich Explanations for Query Answers using Join Graphs | 2021 | SIGMOD | 6.0906707e-05 |
| 5,795 | Banzhaf Values for Facts in Query Answering | 2024 | SIGMOD | 5.9901731e-05 |
| 8,490 | Provenance-based Data Skipping | 2022 | VLDB | 5.3302146e-05 |
| 8,546 | Why Not Match: On Explanations of Event Pattern Queries | 2021 | SIGMOD | 5.3174951e-05 |
| 10,636 | Causal Explanations for Disparate Trends: Where and Why? | 2026 | SIGMOD | 4.9769913e-05 |
| 10,749 | Database Views as Explanations for Relational Deep Learning | 2026 | VLDB | 4.9769913e-05 |
| 11,144 | Unified Lineage System: Tracking Data Provenance at Scale | 2025 | SIGMOD | 4.9769913e-05 |
| 11,521 | Counterfactual Explanation at Will, with Zero Privacy Leakage | 2024 | SIGMOD | 4.9769913e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,281 | The Complexity of Why-Provenance for Datalog Queries | 2024 | PODS |
| 2 | 11,981 | On Optimizing the Trade-off between Privacy and Utility in Data Provenance | 2021 | SIGMOD |
| 3 | 2,838 | Data Provenance at Internet Scale: Architecture, Experiences, and the Road Ahead | 2017 | CIDR |
| 4 | 8,590 | OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs | 2023 | VLDB |
| 5 | 6,459 | On Provenance Minimization | 2011 | PODS |
| 6 | 621 | On the Provenance of Non-Answers to Queries over Extracted Data | 2008 | VLDB |
| 7 | 4,684 | Provenance for Natural Language Queries | 2017 | VLDB |
| 8 | 10,888 | Computing Why-Provenance for Property Graph Queries | 2026 | VLDB |
| 9 | 7,235 | Hypothetical Reasoning via Provenance Abstraction | 2019 | SIGMOD |
| 10 | 12,243 | Provenance Summaries for Answers and Non-Answers | 2018 | VLDB |