ReCG: Bottom-Up JSON Schema Discovery Using a Repetitive Cluster-and-Generalize Framework
Summary: ReCG: a bottom-up JSON schema discovery that builds schemas from leaf nodes via repetitive cluster-and-generalize to avoid brittle top-down heuristics. Applies MDL to select concise, generalizable schemas; shows up to 47% precision/recall, 46% F1 and 2.11x speedup. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Joohyung Yun (Pohang University of Science and Technology)
- 2. Byungchul Tak (Kyungpook National University)
- 3. Wook-Shin Han (Pohang University of Science and Technology)
BibTeX Citation
@article{yun_vldb24,
title = {{ReCG: Bottom-Up JSON Schema Discovery Using a Repetitive Cluster-and-Generalize Framework}},
author = {Yun, Joohyung and Tak, Byungchul and Han, Wook-Shin},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {3538--3550},
doi = {10.14778/3681954.3682019},
url = {https://doi.org/10.14778/3681954.3682019},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,084 | Exploring Exploratory Querying | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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