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Tuning Schema Matching Software using Synthetic Scenarios

Summary: Automatic tuning of schema matching via synthetic scenarios with ground-truth mappings. Sequentially search tuning space from low-level components; broadens applicability to diverse matchers and improves real-schema accuracy, with optional user input. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9376
Venue
VLDB
Year
2005
Pagerank
0.00010646894
Overall Rank
1,762 | 87.75%
DOI
-

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