Abstract
The schema-free nature of RDF makes the processing of its query language SPARQL challenging. In this paper, we propose a subject partitioning approach to storing RDF data using the unit of entity document to reduce join operations. To transform a query graph to a query plan, we design a size estimation model specific to SPARQL processing. We implement a prototype system called sp-NoSQL over the MongoDB NoSQL database. By comparing with two representative SPARQL query engines, we evaluate the effectiveness of our approach.
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References
SPARQL Query Language for RDF. W3C Recommendation (January 15, 2008), http://www.w3.org/TR/rdf-sparql-query/
Neumann, T., Weikum, G.: The rdf-3x engine for scalable management of rdf data. The VLDB Journal 19, 91–113 (2010)
Harris, S., Gibbins, N.: 3store: Effcient bulk RDF storage. In: Proc. of PSSS 2003, pp. 1–15 (2003)
Abadi, D.J., Marcus, A., Madden, S.R., Hollenbach, K.: Scalable semantic web data management using vertical partitioning. In: VLDB, pp. 411–422 (2007)
Wilkinson, K.: Jena Property Table Implementation. In: SSWS (2006)
Stocker, M., Seaborne, A., Bernstein, A., et al.: SPARQL basic graph pattern optimization using selectivity estimation. In: Proc. WWW, pp. 595–604 (2008)
Sidirourgos, L., Goncalves, R., et al.: Column-Store Support for RDF Data Management: not all swans are white. In: Proc. VLDB, pp. 1553–1563 (2008)
DeHaan, D., Tompa, F.W.: Optimal top-down join enumeration. In: Proc. SIGMOD, pp. 785–796 (2007)
Hecht, R., Jablonski, S.: NoSQL Evaluation: A Use Case Orinted Survey. In: Proc. CSC, pp. 336–341 (2011)
Bugiotti, F., et al.: RDF data management in the Amazon cloud. In: EDBT/ICDT Workshops, pp. 61–72 (2012)
Khadilkar, V., Kantarcioglu, M., Castagna, P., et al.: Jena-HBase: A Distributed, Scalable and Efficient RDF Triple Store. In: Proc. ISWC, Posters & Demos (2012)
Bizer, C., Schultz, A.: The Berlin SPARQL Benchmark. IJSWIS 5(2), 1–24 (2009)
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Ni, C., Hu, W., Qu, Y. (2013). A Subject Partitioning Based SPARQL Query Engine and Its NoSQL Implementation. In: Qi, G., Tang, J., Du, J., Pan, J.Z., Yu, Y. (eds) Linked Data and Knowledge Graph. CSWS 2013. Communications in Computer and Information Science, vol 406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54025-7_9
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DOI: https://doi.org/10.1007/978-3-642-54025-7_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54024-0
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