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Grr: Generating Random RDF

This video was recorded at 8th Extended Semantic Web Conference (ESWC) 2011. 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.

Keywords:: videolectures, ocwc, oec

Disciplines:

Science and Technology / Computer Science

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Material Type:: Presentation
Date Added to MERLOT:: February 8, 2015
Date Modified in MERLOT:: February 8, 2015
Author:: Daniel Blum, The Hebrew University of Jerusalem
Submitter:: The Open Education Consortium
Primary Audience:: College General Ed, College Lower Division, College Upper Division
Technical Format:: Video

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States