A Parallel Processing Framework for RDF Design and Issues

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Executive Summary

This paper describes the hardware and software architecture of a parallel processing framework for RDF data. The aim of the framework is to simplify the implementation of parallel programs and to support execution over cluster of off-the-shelf machines. From a scripting language, logical execution plans are constructed and then compiled into physical execution plans which are scheduled for execution in parallel over a cluster. At runtime, processing elements simply exchange data as streams of tuples. The author is not pioneers in this field; however, not many of the existing systems support parallel RDF data processing.

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