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Given a schema S, we match S against synthetic schemas, for which the ground truth mapping is known, and find a tuning that demonstrably improves the performance of matching S against real schemas. We describe eTuner, an approach to automatically tune schema matching systems. Tuning is skill and time intensive, but (as we show) without it the matching accuracy is significantly inferior. The domain user mustthen tune the system: select the right component to be executed and correctly adjust their numerous “knobs” (e.g., thresholds, formula coefficients). Most recent schema matching systems assemble multiple components, each employing a particular matching technique.
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