Automated Migration of Hierarchical Data to Relational Tables using Programming-by-Example
Summary: Mitra synthesizes XML/JSON-to-relational transformations from small input–output examples. Its key novelty is decomposing synthesis into column and row construction to discover hidden node relationships, achieving 94% benchmark and all real-dataset successes. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Navid Yaghmazadeh (University of Texas)
- 2. Xinyu Wang (University of Texas)
- 3. Isil Dillig (University of Texas)
BibTeX Citation
@article{yaghmazadeh_vldb18,
title = {{Automated Migration of Hierarchical Data to Relational Tables using Programming-by-Example}},
author = {Yaghmazadeh, Navid and Wang, Xinyu and Dillig, Isil},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {5},
pages = {580--593},
doi = {10.1145/3177732.3177735},
url = {https://doi.org/10.1145/3177732.3177735},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,438 | PATSQL: Efficient Synthesis of SQL Queries from Example Tables with Quick Inference of Projected Columns | 2021 | VLDB | 6.2195845e-05 |
| 6,533 | Data Migration using Datalog Program Synthesis | 2020 | VLDB | 5.8488042e-05 |
| 7,552 | Trinity: An Extensible Synthesis Framework for Data Science | 2019 | VLDB | 5.6005243e-05 |
| 9,020 | Data-Driven Insight Synthesis for Multi-Dimensional Data | 2024 | VLDB | 5.3306775e-05 |
| 9,436 | GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example | 2023 | SIGMOD | 5.2692207e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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