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Probabilistic Data Integration

In this paper we propose and experimentally evaluate a data integration approach where the uncertainty generated during the comparison and merging of the input data sources is included into the resulting mediated schema, and can be used to provide richer answers to the users. We describe a system implementing our method, and use it to empirically study the impact of uncertainty management on the effectiveness and efficiency of the data integration process. In particular, we test our approach on benchmark datasets, showing that considering uncertainty we may increase the recall of the method, and on real databases, showing that it can be applied to large data sources. . Department of Computer Science, University of Bologna, Mura A. Zamboni 7, 40127 Bologna, Italy.