Scalable SPARQL querying using path partitioning

@article{Wu2015ScalableSQ,
  title={Scalable SPARQL querying using path partitioning},
  author={Buwen Wu and Yongluan Zhou and Pingpeng Yuan and Ling Liu and Hai Jin},
  journal={2015 IEEE 31st International Conference on Data Engineering},
  year={2015},
  pages={795-806}
}
The emerging need for conducting complex analysis over big RDF datasets calls for scale-out solutions that can harness a computing cluster to process big RDF datasets. Queries over RDF data often involve complex self-joins, which would be very expensive to run if the data are not carefully partitioned across the cluster and hence distributed joins over massive amount of data are necessary. Existing RDF data partitioning methods can nicely localize simple queries but still need to resort to… CONTINUE READING
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View 1 Excerpt

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View 9 Excerpts

References

Publications referenced by this paper.
Showing 1-10 of 24 references

The RDF-3X engine for scalable management of RDF data

The VLDB Journal • 2009
View 5 Excerpts
Highly Influenced

Computers and intractability: a guide to the theory of np-completeness

R. G. Michael, S. J. David
WH Freeman & Co., San Francisco, • 1979
View 5 Excerpts
Highly Influenced

SP2Bench: A SPARQL Performance Benchmark

Semantic Web Information Management • 2009
View 5 Excerpts
Highly Influenced

How to partition a billion-node graph

2014 IEEE 30th International Conference on Data Engineering • 2014
View 1 Excerpt

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