Semantics, Knowledge and Grid, International Conference on (2005)
Nov. 27, 2005 to Nov. 29, 2005
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SKG.2005.37
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.
Baolin Liu, Bo Hu, "An Evaluation of RDF Storage Systems for Large Data Applications", Semantics, Knowledge and Grid, International Conference on, vol. 00, no. , pp. 59, 2005, doi:10.1109/SKG.2005.37