Grr: Generating random RDF

Daniel Blum; Sara Cohen

doi:10.1007/978-3-642-21064-8_2

Grr: Generating random RDF

Daniel Blum, Sara Cohen

The Rachel and Selim Benin School of Engineering and Computer Science

The Hebrew University of Jerusalem

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	The Semantic Web
Subtitle of host publication	Research and Applications - 8th Extended Semantic Web Conference, ESWC 2011, Proceedings
Pages	16-30
Number of pages	15
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-21064-8_2
State	Published - 2011
Event	8th Extended Semantic Web Conference, ESWC 2011 - Heraklion, Crete, Greece Duration: 29 May 2011 → 2 Jun 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6643 LNCS

Conference

Conference	8th Extended Semantic Web Conference, ESWC 2011
Country/Territory	Greece
City	Heraklion, Crete
Period	29/05/11 → 2/06/11

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-21064-8_2

Cite this

Blum, D., & Cohen, S. (2011). Grr: Generating random RDF. In The Semantic Web: Research and Applications - 8th Extended Semantic Web Conference, ESWC 2011, Proceedings (PART 2 ed., pp. 16-30). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6643 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-21064-8_2

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title = "Grr: Generating random RDF",

abstract = "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.",

author = "Daniel Blum and Sara Cohen",

note = "Funding Information: This work was partially supported by the GIF (Grant 2201-1880.6/2008) and the ISF (Grant 143/09).; 8th Extended Semantic Web Conference, ESWC 2011 ; Conference date: 29-05-2011 Through 02-06-2011",

year = "2011",

doi = "10.1007/978-3-642-21064-8\_2",

language = "الإنجليزيّة",

isbn = "9783642210631",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "16--30",

booktitle = "The Semantic Web",

edition = "PART 2",

}

Blum, D & Cohen, S 2011, Grr: Generating random RDF. in The Semantic Web: Research and Applications - 8th Extended Semantic Web Conference, ESWC 2011, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6643 LNCS, pp. 16-30, 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, 29/05/11. https://doi.org/10.1007/978-3-642-21064-8_2

Grr: Generating random RDF. / Blum, Daniel; Cohen, Sara.
The Semantic Web: Research and Applications - 8th Extended Semantic Web Conference, ESWC 2011, Proceedings. PART 2. ed. 2011. p. 16-30 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6643 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

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U2 - 10.1007/978-3-642-21064-8_2

DO - 10.1007/978-3-642-21064-8_2

M3 - منشور من مؤتمر

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

Y2 - 29 May 2011 through 2 June 2011

ER -

Grr: Generating random RDF

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Publication series

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All Science Journal Classification (ASJC) codes

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