Making sense of top-k matchings: a unified match graph for schema matching

  title={Making sense of top-k matchings: a unified match graph for schema matching},
  author={Avigdor Gal and Tomer Sagi and Matthias Weidlich and Eliezer Levy and Victor Shafran and Zolt225n Mikl243s and Nguyen Quoc Viet Hung},
  booktitle={IIWeb '12},
Schema matching in uncertain environments faces several challenges, among them the identification of complex correspondences. In this paper, we present a method to address this challenge based on top-k matchings, i.e., a set of matchings comprising only 1: 1 correspondences derived by common matchers. We propose the unified top-k match graph and define a clustering problem for it. The obtained attribute clusters are analysed to derive complex correspondences. Our experimental evaluation shows… CONTINUE READING
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IEEE Transactions on Knowledge and Data Engineering • 2008
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