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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)

Paper ID
h9cd29e3dc592bf07
Venue
VLDB
Year
2023
Pagerank
6.254003e-05
Overall Rank
5,120 | 65.69%
DOI
10.14778/3583140.3583169
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

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.

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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.

Rank Cited Paper Year Venue Pagerank
132 Deep Entity Matching with Pre-Trained Language Models 2021 VLDB 0.00030213215
623 Data Lake Management: Challenges and Opportunities 2019 VLDB 0.00015446839
679 JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes 2019 SIGMOD 0.00014802
727 Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms 2015 VLDB 0.00014426954
879 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00013255435
910 Meaningful Change Detection in Structured Data 1997 SIGMOD 0.00013108662
1,089 DataHub: Collaborative Data Science & Dataset Version Management at Scale 2015 CIDR 0.00012062983
1,094 BlinkFill: Semi-supervised Programming By Example for Syntactic String Transformations 2016 VLDB 0.00012039085
1,111 Foofah: Transforming Data By Example 2017 SIGMOD 0.00011946262
1,362 Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff 2015 VLDB 0.0001088824
1,535 Change Detection in Hierarchically Structured Information 1996 SIGMOD 0.00010299485
2,001 OrpheusDB: Bolt-on Versioning for Relational Databases 2017 VLDB 9.2020796e-05
2,097 Open Data Integration 2018 VLDB 9.0397587e-05
2,608 Auto-Join: Joining Tables by Leveraging Transformations 2017 VLDB 8.209962e-05
2,645 Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks 2020 SIGMOD 8.1641056e-05
2,746 Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations 2018 VLDB 8.0458815e-05
3,594 Learning Semantic String Transformations from Examples 2012 VLDB 7.1638481e-05
3,897 Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets 2018 SIGMOD 6.9202872e-05
4,005 Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search 2021 VLDB 6.8448428e-05
4,158 Integrating Data Lake Tables 2023 VLDB 6.7595989e-05
4,444 Auto-Transform: Learning-to-Transform by Patterns 2020 VLDB 6.5812416e-05
5,117 Towards Benchmarking Feature Type Inference for AutoML Platforms 2021 SIGMOD 6.2551509e-05
5,585 Exploring Change – A New Dimension of Data Analytics 2019 VLDB 6.0584232e-05
6,608 Explain3D: Explaining Disagreements in Disjoint Datasets 2019 VLDB 5.7187078e-05
6,746 SQUARES: A SQL Synthesizer Using Query Reverse Engineering 2020 VLDB 5.6743008e-05
6,896 ADnEV: Cross-Domain Schema Matching using Deep Similarity Matrix Adjustment and Evaluation 2020 VLDB 5.6380737e-05
7,190 FlexER: Flexible Entity Resolution for Multiple Intents 2023 SIGMOD 5.5737453e-05
8,016 TardisDB: Extending SQL to Support Versioning 2021 SIGMOD 5.3910163e-05
8,532 DBChEx: Interactive Exploration of Data and Schema Change 2019 CIDR 5.3062824e-05
9,329 DataDiff: User-Interpretable Data Transformation Summaries for Collaborative Data Analysis 2018 SIGMOD 5.1800142e-05
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