Chapter

The Semanic Web: Research and Applications

Volume 6644 of the series Lecture Notes in Computer Science pp 16-30

Grr: Generating Random RDF

  • Daniel BlumAffiliated withSchool of Computer Science and Engineering, The Hebrew University of Jerusalem
  • , Sara CohenAffiliated withSchool of Computer Science and Engineering, The Hebrew University of Jerusalem

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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.