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First International Conference on Semantics, Knowledge and Grid (SKG'05)
An Evaluation of RDF Storage Systems for Large Data Applications
Beijing, China
November 27-November 29
ISBN: 0-7695-2534-2
Baolin Liu, Tsinghua University, Beijing 100084, P.R.China
Bo Hu, Tsinghua University, Beijing 100084, P.R.China
In this paper, evaluation on 7 RDF storage systems with respect to the large data applications is presented. By using the toolkit LUBM-R, 4 different scales of RDF datasets to proceed with benchmark are gotten. The target systems which are evaluated includes two storage systems based on memory (Sesame-Memory and Jena-Memory), two persistent storage systems with RDBMS underlying (Sesame-DB and Jena-DB), and three native RDF approach systems (Sesame- Native, Kowari and YARS). We described how we have performed the evaluation and discussed several issues about the results. We also introduced a combined metric to measure the overall performance of a RDF storage system. And the results show several issues about current RDF storage system.
Citation:
Baolin Liu, Bo Hu, "An Evaluation of RDF Storage Systems for Large Data Applications," skg, pp.59, First International Conference on Semantics, Knowledge and Grid (SKG'05), 2005
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