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The diversity and large volumes of data processed in the Natural Sciences today has led to a proliferation of highly-specialized and autonomous scientific databases with inherent and often intricate relationships. As a user-friendly method for querying this complex, ever-expanding network of sources for correlations, the authors propose exploratory queries. Exploratory queries are loosely-structured, hence requiring only minimal user knowledge of the source network. Evaluating an exploratory query usually involves the evaluation of many distributed queries.
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