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Issue No.03 - May-June (2013 vol.15)
pp: 36-43
Craig Franke , University of Texas–Pan American
Samuel Morin , University of Texas–Pan American
Artem Chebotko , University of Texas–Pan American
John Abraham , University of Texas–Pan American
Pearl Brazier , University of Texas–Pan American
ABSTRACT
With rapid growth of the Semantic Web, the authors' research focuses on designing a scalable resource description framework (RDF) database system that can efficiently process SPARQL queries over large RDF datasets. In this article, they present their design, architecture, storage schemes, and performance evaluation of two efficient RDF data management approaches that use state-of-the-art cloud and relational database technologies-HBase and MySQL Cluster.
INDEX TERMS
Resource description framework, Databases, Semantic Web, Middleware, Clustering algorithms, Distributed processing, Information technology, Performance evaluation, Query processing, information technology, cloud computing, distributed database, Semantic Web, RDF, SPARQL, SQL, HBase, MySQL Cluster, query; performance, scalability
CITATION
Craig Franke, Samuel Morin, Artem Chebotko, John Abraham, Pearl Brazier, "Efficient Processing of Semantic Web Queries in HBase and MySQL Cluster", IT Professional, vol.15, no. 3, pp. 36-43, May-June 2013, doi:10.1109/MITP.2012.42
REFERENCES
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2. M.F. Husain et al., "Data Intensive Query Processing for Large RDF Graphs Using Cloud Computing Tools," Proc. IEEE Int'l Conf. Cloud Computing, IEEE, 2010, pp. 1–10; http://dx.doi.org/10.1109CLOUD.2010.36.
3. J. Abraham et al., "Distributed Storage and Querying Techniques for a Semantic Web of Scientific Workflow Provenance," Proc. IEEE Int'l Conf. on Services Computing, IEEE, 2010, pp. 178–185; http://dx.doi.org/10.1109SCC.2010.14.
4. F. Chang et al., "Bigtable: A Distributed Storage System for Structured Data," ACM Trans. Computer Systems, vol. 26, no. 2, 2008.
5. Y. Guo, Z. Pan, and J. Heflin, "LUBM: A Benchmark for OWL Knowledge Base Systems," J. Web Semantics, vol. 3, nos. 2–3, 2005, pp. 158–182.
6. C. Franke et al., "Distributed Semantic Web Data Management in HBase and MySQL Cluster," Proc. IEEE Int'l Conf. Cloud Computing, 2011, pp. 105–112; http://dx.doi.org/10.1109CLOUD.2011.19.
7. A. Chebotko, S. Lu, and F. Fotouhi, "Semantics Preserving SPARQL-to-SQL Translation," Data & Knowledge Eng., vol. 68, no. 10, 2009, pp. 973–1000.
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