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The Berlin SPARQL Benchmark

The Berlin SPARQL Benchmark

Christian Bizer, Andreas Schultz
Copyright: © 2011 |Pages: 23
ISBN13: 9781609605933|ISBN10: 1609605934|EISBN13: 9781609605940
DOI: 10.4018/978-1-60960-593-3.ch004
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MLA

Bizer, Christian, and Andreas Schultz. "The Berlin SPARQL Benchmark." Semantic Services, Interoperability and Web Applications: Emerging Concepts, edited by Amit Sheth, IGI Global, 2011, pp. 81-103. https://doi.org/10.4018/978-1-60960-593-3.ch004

APA

Bizer, C. & Schultz, A. (2011). The Berlin SPARQL Benchmark. In A. Sheth (Ed.), Semantic Services, Interoperability and Web Applications: Emerging Concepts (pp. 81-103). IGI Global. https://doi.org/10.4018/978-1-60960-593-3.ch004

Chicago

Bizer, Christian, and Andreas Schultz. "The Berlin SPARQL Benchmark." In Semantic Services, Interoperability and Web Applications: Emerging Concepts, edited by Amit Sheth, 81-103. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-593-3.ch004

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Abstract

The SPARQL Query Language for RDF and the SPARQL Protocol for RDF are implemented by a growing number of storage systems and are used within enterprise and open Web settings. As SPARQL is taken up by the community, there is a growing need for benchmarks to compare the performance of storage systems that expose SPARQL endpoints via the SPARQL protocol. Such systems include native RDF stores as well as systems that rewrite SPARQL queries to SQL queries against non-RDF relational databases. This article introduces the Berlin SPARQL Benchmark (BSBM) for comparing the performance of native RDF stores with the performance of SPARQL-to-SQL rewriters across architectures. The benchmark is built around an e-commerce use case in which a set of products is offered by different vendors and consumers have posted reviews about products. The benchmark query mix emulates the search and navigation pattern of a consumer looking for a product. The article discusses the design of the BSBM benchmark and presents the results of a benchmark experiment comparing the performance of four popular RDF stores (Sesame, Virtuoso, Jena TDB, and Jena SDB) with the performance of two SPARQL-to-SQL rewriters (D2R Server and Virtuoso RDF Views) as well as the performance of two relational database management systems (MySQL and Virtuoso RDBMS).

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