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Grr: Generating random RDF

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2011) 6643 LNCS(PART 2) 16-30
DOI: 10.1007/978-3-642-21064-8_2
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Abstract

This paper presents Grr, a powerful system for generating random RDF data, which can be used to test Semantic Web applications. Grr has a sparql-like syntax, which allows the system to be both powerful and convenient. It is shown that Grr can easily be used to produce intricate datasets, such as the LUBM benchmark. Optimization techniques are employed, which make the generation process efficient and scalable. © 2011 Springer-Verlag Berlin Heidelberg.

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Blum, D., & Cohen, S. (2011). Grr: Generating random RDF. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6643 LNCS, pp. 16–30). https://doi.org/10.1007/978-3-642-21064-8_2

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