A fully parallel framework for analyzing RDF data

Abstract

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.