Grr: Generating Random RDF
published: July 7, 2011, recorded: May 2011, views: 3149
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !