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The SPARQL declarative query language includes innovative capabilities to match subgraph patterns within a semantic graph database, providing a powerful base upon which to implement complex graph algorithms for very large data. Iterative algorithms are useful in a wide variety of domains, in particular in the data-mining and machine-learning domains(More)
With the widespread awareness of Big Data, mission leaders now expect that the data available to their organizations will be immediately relevant to their missions. However, the continuing onslaught of the ”data tsunami”, with data becoming more diverse, changing nature more quickly, and growing in volume and speed, confounds all but the simplest analysis(More)
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