Titlebook: Big Data; 29th British Nationa Georg Gottlob,Giovanni Grasso,Christian Schallhart Conference proceedings 2013 Springer-Verlag Berlin Heidel

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MatchBench: Benchmarking Schema Matching Algorithms for Schematic Correspondencesan be used to investigate the effectiveness of different matching algorithms; and (iii) an application of the experiments for the evaluation of matchers from three well-known and publicly available schema matching systems, namely COMA++, Similarity Flooding and Harmony.

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On the Connections between Relational?and?XML Probabilistic Data Models been made explicit: we detail such translations in this article, in both directions, study their impact in terms of complexity results, and present interesting open issues about the connections between relational and XML probabilistic data models.

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On Bridging Relational and Document-Centric Data Storesia variable bindings. We give an effective solution for translating the user query to an equivalent pure SQL query, and present optimization strategies for query processing. We have implemented a prototype of our framework using .SQL and .DB and have performed an extensive empirical analysis. Our st

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archaeology

Bisimulation Reduction of Big Graphs on MapReduceeduce-based solution for bisimulation. Motivated by these observations we propose in this paper the first efficient MapReduce-based algorithm for computing the bisimulation partition of massive graphs. We also detail several optimizations for handling the data skew which often arises in real-world g