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SPECIAL ISSUE PAPER eTuner: tuning schema matching software using synthetic scenarios
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@MISC{Lee_specialissue,
author = {Yoonkyong Lee and Mayssam Sayyadian and Anhai Doan and Arnon S. Rosenthal and M. Sayyadian and A. Doan and A. S. Rosenthal},
title = {SPECIAL ISSUE PAPER eTuner: tuning schema matching software using synthetic scenarios},
year = {}
}
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Abstract
Abstract Most recent schema matching systems assemble multiple components, each employing a particular matching technique. The domain user must then tune the system: select the right component to be executed and correctly adjust their numerous “knobs ” (e.g., thresholds, formula coefficients). Tuning is skill and time intensive, but (as we show) without it the matching accuracy is significantly inferior. We describe eTuner, an approach to automatically tune schema matching systems. 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. To efficiently search the huge space of tuning configurations, eTuner works sequentially, starting with tuning the lowest level components. To increase the applicability of eTuner, we develop methods to tune a broad range of matching components. While the tuning process is completely automatic, eTuner can also exploit user assistance (whenever available) to further improve the tuning quality. We employed eTuner to tune four recently
Keyphrases
synthetic scenario special issue paper etuner tuning schema broad range synthetic schema level component numerous knob real schema etuner work abstract recent schema ground truth mapping huge space domain user tuning quality right component formula coefficient system assemble multiple component particular matching technique
