Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V
Summary: Explain-Da-V: framework that explains semantic changes between dataset versions by synthesizing concise data-transformation explanations. Proposes validity, generalizability and explainability metrics and empirically outperforms prior transformation-synthesis methods. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Roee Shraga (Northeastern University)
- 2. Renée J. Miller (Northeastern University)
BibTeX Citation
@article{shraga_vldb23,
title = {{Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V}},
author = {Shraga, Roee and Miller, Renée J.},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {6},
pages = {1587--1600},
doi = {10.14778/3583140.3583169},
url = {https://doi.org/10.14778/3583140.3583169},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,928 | TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations | 2025 | VLDB | 5.4254488e-05 |
| 9,958 | Discovering Functional Dependencies through Hitting Set Enumeration | 2024 | SIGMOD | 5.1038322e-05 |
| 10,499 | Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach | 2026 | SIGMOD | 4.9793485e-05 |
| 10,595 | Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations | 2026 | SIGMOD | 4.9793485e-05 |
| 11,144 | ChARLES: Change-Aware Recovery of Latent Evolution Semantics in Relational Data | 2025 | SIGMOD | 4.9793485e-05 |
| 11,270 | Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 30 of 30 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,144 | ChARLES: Change-Aware Recovery of Latent Evolution Semantics in Relational Data | 2025 | SIGMOD |
| 2 | 10,620 | AutoDDG: Automated Dataset Description Generation using Large Language Models | 2026 | SIGMOD |
| 3 | 2,222 | Explaining Query Answers with Explanation-Ready Databases | 2016 | VLDB |
| 4 | 1,086 | DataHub: Collaborative Data Science & Dataset Version Management at Scale | 2015 | CIDR |
| 5 | 5,569 | Exploring Change – A New Dimension of Data Analytics | 2019 | VLDB |
| 6 | 11,898 | Automated Relational Data Explanation using External Semantic Knowledge | 2022 | VLDB |
| 7 | 11,038 | Semantic Data Systems: From Data Management to Data Understanding | 2026 | VLDB |
| 8 | 1,355 | Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff | 2015 | VLDB |
| 9 | 6,600 | Explain3D: Explaining Disagreements in Disjoint Datasets | 2019 | VLDB |
| 10 | 9,294 | DataDiff: User-Interpretable Data Transformation Summaries for Collaborative Data Analysis | 2018 | SIGMOD |