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A Fully Parallel Framework for Fast Analyzing RDF Data

Long ChengLong Cheng,  Spyros KotoulasSpyros Kotoulas,  Tomas E. WardTomas E. Ward,  Georgios TheodoropoulosGeorgios Theodoropoulos

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Long Cheng, Spyros Kotoulas, Tomas E. Ward, Georgios Theodoropoulos
A Fully Parallel Framework for Fast Analyzing RDF Data
P&D Track of the 13th International Semantic Web Conference (ISWC'14), October 2014. CEUR Workshop Proceedings

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• KurzfassungAbstract
  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.
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• Projekt:Project: DIAMOND
• Forschungsgruppe:Research Group: Knowledge SystemsKnowledge-Based Systems

@inproceedings{CKWT2014,
  author    = {Long Cheng and Spyros Kotoulas and Tomas E. Ward and Georgios
               Theodoropoulos},
  title     = {A Fully Parallel Framework for Fast Analyzing {RDF} Data},
  booktitle = {P\&D Track of the 13th International Semantic Web Conference
               (ISWC'14)},
  publisher = {CEUR Workshop Proceedings},
  year      = {2014},
  month     = {October}
}