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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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 382 | COMA - A system for flexible combination of schema matching approaches | 2002 | VLDB | 0.00024823252 |
| 5,595 | Schemas and Types for JSON Data: from Theory to Practice | 2019 | SIGMOD | 5.4191724e-05 |
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