A Collective, Probabilistic Approach to Schema Mapping

Abstract

We propose a probabilistic approach to the problem of schema mapping. Our approach is declarative, scalable, and extensible. It builds upon recent results in both schema mapping and probabilistic reasoning and contributes novel techniques in both fields. We introduce the problem of mapping selection, that is, choosing the best mapping from a space of… (More)
DOI: 10.1109/ICDE.2017.140

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Cite this paper

@article{Kimmig2017ACP, title={A Collective, Probabilistic Approach to Schema Mapping}, author={Angelika Kimmig and Alex Memory and Ren{\'e}e J. Miller and Lise Getoor}, journal={2017 IEEE 33rd International Conference on Data Engineering (ICDE)}, year={2017}, pages={921-932} }