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Witness Generation for JSON Schema

Summary: First direct algorithm for JSON Schema witness generation, extracting a concrete witness when satisfiable; reduces satisfiability, inclusion, and equivalence to witness synthesis. Empirical evaluation on real-world schemas shows practicality and efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
13097
Venue
VLDB
Year
2022
Pagerank
5.1535135e-05
Overall Rank
10,091 | 30.77%
DOI
10.14778/3565838.3565852

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{attouche_vldb22,
        title = {{Witness Generation for JSON Schema}},
        author = {Attouche, Lyes and Baazizi, Mohamed-Amine and Colazzo, Dario and Ghelli, Giorgio and Sartiani, Carlo and Scherzinger, Stefanie},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {13},
        pages = {4002--4014},
        doi = {10.14778/3565838.3565852},
        url = {https://doi.org/10.14778/3565838.3565852},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
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 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
3,287 JSON: Data model, Query languages and Schema specification 2017 PODS 7.5587639e-05
6,283 Schemas and Types for JSON Data: from Theory to Practice 2019 SIGMOD 5.9270536e-05
Previous Page 1 / 1 Next

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