Exploration de données massives à l’aide d’estimations de cardinalités

This paper describes FuzViz, a tool to explore interactively massive relational data. FuzViz relies on a method building automatically linguistic summaries, that provide concise and intelligible insights in the data content. It offers an interactive view of these summaries, dynamically recomputed on demand. To ensure a fluid exploration of the data, FuzViz exploits the proposition of a highly efficient method for estimating the cardinality of the summary properties, estimated from statistics about the data distribution stored in the relational data base, consolidated by a sampling-based approach. The proposed workflow also involves a vocabulary inference mechanism from these statistics.