Generating RDF for application testing

Daniel Blum, Sara Cohen

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Application testing is a critical component of application development. Testing of Semantic Web applications requires large RDF datasets, conforming to an expected form or schema, and preferably, to an expected data distribution. Finding such datasets often proves impossible, while generating input datasets is often cumbersome. The GRR (Generating Random RDF) system is a convenient, yet powerful, tool for generating random RDF, based on a SPARQLlike syntax. In this poster and demo, we show how large datasets can be easily generated using intuitive commands.

Original languageAmerican English
Pages (from-to)105-108
Number of pages4
JournalCEUR Workshop Proceedings
Volume658
StatePublished - 2010
EventISWC 2010 Posters and Demonstrations Track: Collected Abstracts, ISWC 2010 Posters and Demos - Shanghai, China
Duration: 9 Nov 20109 Nov 2010

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