TY - GEN
T1 - Grr
T2 - 8th Extended Semantic Web Conference, ESWC 2011
AU - Blum, Daniel
AU - Cohen, Sara
N1 - Funding Information: This work was partially supported by the GIF (Grant 2201-1880.6/2008) and the ISF (Grant 143/09).
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/79960034497
U2 - 10.1007/978-3-642-21064-8_2
DO - 10.1007/978-3-642-21064-8_2
M3 - Conference contribution
SN - 9783642210631
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 16
EP - 30
BT - The Semantic Web
PB - Springer Verlag
Y2 - 29 May 2011 through 2 June 2011
ER -