Exploring Controlled RDF Distribution

@article{Penteado2016ExploringCR,
  title={Exploring Controlled RDF Distribution},
  author={Raqueline R. M. Penteado and Rebeca Schroeder and Carmem S. Hara},
  journal={2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)},
  year={2016},
  pages={160-167}
}
RDF datasets have increased rapidly over the last few years. In order to process SPARQL queries on these large datasets, much effort has been spent on developing horizontally scalable techniques, which involve data partitioning and parallel query processing. While distribution may provide storage scalability, it may also incur high communication costs for processing queries. In this paper, we present a parallel and distributed query rocessing approach that explores the existence of data… CONTINUE READING

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