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binary tables is not always better than clustered property table and depends on the characteristics of the
data set. Moreover, the experiments of Abadi et al. (2009) reported that storing RDF data in column-
store database is better than that of row-store database while Sidirourgos et al. (2008) experiments have
shown that the gain of performance in column-store database depends on the number of predicates in a
data set. Our experimental evaluation in addition to other independent benchmarking projects (Bizer &
Schultz, 2008; Schmidt et al., 2008, 2009) have shown that no approach is dominant for all queries and
none of these approaches can compete with a purely relational model. Therefore, it is clear that there is
still room for optimization in the proposed generic relational RDF storage schemes and thus new tech-
niques for storing and querying RDF data are still required to bring forward the Semantic Web vision.
REFERENCES
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RDFSuite: Managing voluminous RDF description bases. In Proceedings of the 2nd International Work-
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graph/
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Broekstra, J., Kampman, A., & van Harmelen, F. (2002). Sesame: A generic architecture for storing and
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Chaudhuri, S., & Weikum, G. (2000). Rethinking database system architecture: Towards a self-tuning
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