LLM-Matcher: A Name-Based Schema Matching Tool using Large Language Models
Summary: LLM-Matcher uses LLMs for name-only schema matching, yielding an interactive, interpretable initial mapping without instance data. Domain-aware feedback refines mappings to correct misconceptions, with experiments validating effectiveness in restricted settings. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 219 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.00033354456 |
| 516 | Can Foundation Models Wrangle Your Data? | 2023 | VLDB | 0.00021194444 |
| 1,527 | Generic Schema Matching, Ten Years Later | 2011 | VLDB | 0.00011494604 |
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