JSON Schema Matching: Empirical Observations
Summary: Empirical study of JSON schema matching; assesses whether existing tools support JSON and how to extend them. Highlights nesting variability, missing names/types, and schema-data separation; proposes a baseline approach reusing existing matchers. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Kunal Waghray (University of Wisconsin)
BibTeX Citation
@inproceedings{waghray_sigmod20,
title = {{JSON Schema Matching: Empirical Observations}},
author = {Waghray, Kunal},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384417},
url = {https://dl.acm.org/doi/10.1145/3318464.3384417},
year = {2020}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 390 | COMA - A system for flexible combination of schema matching approaches | 2002 | VLDB | 0.00019382486 |
| 6,283 | Schemas and Types for JSON Data: from Theory to Practice | 2019 | SIGMOD | 5.9270536e-05 |
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