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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)

Paper ID
13750
Venue
VLDB
Year
2024
Pagerank
5.1997534e-05
Overall Rank
9,893 | 32.13%
DOI
10.14778/3681954.3682019

Incoming Non-self Citations Over Time

Authors

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)

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Rank Citing Paper Year Venue Pagerank
11,084 Exploring Exploratory Querying 2025 VLDB 5.093636e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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