Grr: Generating Random RDF
author: Daniel Blum,
The Hebrew University of Jerusalem
published: July 7, 2011, recorded: May 2011, views: 3149
published: July 7, 2011, recorded: May 2011, views: 3149
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Description
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.
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