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A Fully Parallel Framework for Analyzing RDF Data

We introduce the design of a fully parallel framework for quickly analyzing large-scale RDF data over distributed architectures. We present three core operations of this framework: dictionary encoding, parallel joins and indexing processing. Preliminary experimental results on a commodity cluster show that we can load large RDF data very fast while remaining within an interactive range for query processing.