Review of Large-Scale RDF Data Processing in MapReduce by Ke Hou, Jing Zhang and Xing Fang.
Abstract:
Resource Description Framework (RDF) is an important data presenting standard of semantic web and how to process, the increasing RDF data is a key problem for development of semantic web. MapReduce is a widely-used parallel programming model which can provide a solution to large-scale RDF data processing. This study reviews the recent literatures on RDF data processing in MapReduce framework in aspects of the forward-chaining reasoning, the simple querying and the storage mode determined by the related querying method. Finally, it is proposed that the future research direction of RDF data processing should aim at the scalable, increasing and complex RDF data query.
I count twenty-nine (29) projects with two to three sentence summaries of each one. Great starting point for an in-depth review of RDF data processing using mapreduce.
I first saw this in a tweet by Marin Dimitrov.