LSQ: The linked SPARQL queries dataset

Muhammad Saleem; Muhammad Intizar Ali; Aidan Hogan; Qaiser Mehmood; Axel Cyrille Ngonga Ngomo

doi:10.1007/978-3-319-25010-6_15

LSQ: The linked SPARQL queries dataset

Muhammad Saleem
, Muhammad Intizar Ali
, Aidan Hogan
, Qaiser Mehmood
, Axel Cyrille Ngonga Ngomo

University of Leipzig
University of Galway
Universidad de Chile

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

106 Citations (Scopus)

Abstract

We present LSQ: a Linked Dataset describing SPARQL queries extracted from the logs of public SPARQL endpoints. We argue that LSQ has a variety of uses for the SPARQL research community, be it for example to generate custom benchmarks or conduct analyses of SPARQL adoption. We introduce the LSQ data model used to describe SPARQL query executions as RDF. We then provide details on the four SPARQL endpoint logs that we have RDFised thus far. The resulting dataset contains 73 million triples describing 5.7 million query executions.

Original language	English
Title of host publication	The Semantic Web – ISWC 2015 - 14th International Semantic Web Conference, Proceedings
Editors	Marcelo Arenas, Oscar Corcho, Elena Simperl, Markus Strohmaier, Mathieu d’Aquin, Kavitha Srinivas, Paul Groth, Michel Dumontier, Jeff Heflin, Krishnaprasad Thirunarayan, Steffen Staab
Publisher	Springer-Verlag
Pages	261-269
Number of pages	9
ISBN (Print)	9783319250090
DOIs	https://doi.org/10.1007/978-3-319-25010-6_15
Publication status	Published - 2015
Externally published	Yes
Event	14th International Semantic Web Conference, ISWC 2015 - Bethlehem, United States Duration: 11 Oct 2015 → 15 Oct 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9367
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Semantic Web Conference, ISWC 2015
Country/Territory	United States
City	Bethlehem
Period	11/10/15 → 15/10/15

Access to Document

10.1007/978-3-319-25010-6_15

Cite this

Saleem, M., Ali, M. I., Hogan, A., Mehmood, Q., & Ngonga Ngomo, A. C. (2015). LSQ: The linked SPARQL queries dataset. In M. Arenas, O. Corcho, E. Simperl, M. Strohmaier, M. d’Aquin, K. Srinivas, P. Groth, M. Dumontier, J. Heflin, K. Thirunarayan, & S. Staab (Eds.), The Semantic Web – ISWC 2015 - 14th International Semantic Web Conference, Proceedings (pp. 261-269). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9367). Springer-Verlag. https://doi.org/10.1007/978-3-319-25010-6_15

Saleem, Muhammad ; Ali, Muhammad Intizar ; Hogan, Aidan et al. / LSQ : The linked SPARQL queries dataset. The Semantic Web – ISWC 2015 - 14th International Semantic Web Conference, Proceedings. editor / Marcelo Arenas ; Oscar Corcho ; Elena Simperl ; Markus Strohmaier ; Mathieu d’Aquin ; Kavitha Srinivas ; Paul Groth ; Michel Dumontier ; Jeff Heflin ; Krishnaprasad Thirunarayan ; Steffen Staab. Springer-Verlag, 2015. pp. 261-269 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "LSQ: The linked SPARQL queries dataset",

abstract = "We present LSQ: a Linked Dataset describing SPARQL queries extracted from the logs of public SPARQL endpoints. We argue that LSQ has a variety of uses for the SPARQL research community, be it for example to generate custom benchmarks or conduct analyses of SPARQL adoption. We introduce the LSQ data model used to describe SPARQL query executions as RDF. We then provide details on the four SPARQL endpoint logs that we have RDFised thus far. The resulting dataset contains 73 million triples describing 5.7 million query executions.",

author = "Muhammad Saleem and Ali, \{Muhammad Intizar\} and Aidan Hogan and Qaiser Mehmood and \{Ngonga Ngomo\}, \{Axel Cyrille\}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 14th International Semantic Web Conference, ISWC 2015 ; Conference date: 11-10-2015 Through 15-10-2015",

year = "2015",

doi = "10.1007/978-3-319-25010-6\_15",

language = "English",

isbn = "9783319250090",

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

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editor = "Marcelo Arenas and Oscar Corcho and Elena Simperl and Markus Strohmaier and Mathieu d{\textquoteright}Aquin and Kavitha Srinivas and Paul Groth and Michel Dumontier and Jeff Heflin and Krishnaprasad Thirunarayan and Steffen Staab",

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Saleem, M, Ali, MI, Hogan, A, Mehmood, Q & Ngonga Ngomo, AC 2015, LSQ: The linked SPARQL queries dataset. in M Arenas, O Corcho, E Simperl, M Strohmaier, M d’Aquin, K Srinivas, P Groth, M Dumontier, J Heflin, K Thirunarayan & S Staab (eds), The Semantic Web – ISWC 2015 - 14th International Semantic Web Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9367, Springer-Verlag, pp. 261-269, 14th International Semantic Web Conference, ISWC 2015, Bethlehem, United States, 11/10/15. https://doi.org/10.1007/978-3-319-25010-6_15

LSQ: The linked SPARQL queries dataset. / Saleem, Muhammad; Ali, Muhammad Intizar; Hogan, Aidan et al.
The Semantic Web – ISWC 2015 - 14th International Semantic Web Conference, Proceedings. ed. / Marcelo Arenas; Oscar Corcho; Elena Simperl; Markus Strohmaier; Mathieu d’Aquin; Kavitha Srinivas; Paul Groth; Michel Dumontier; Jeff Heflin; Krishnaprasad Thirunarayan; Steffen Staab. Springer-Verlag, 2015. p. 261-269 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9367).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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T1 - LSQ

T2 - 14th International Semantic Web Conference, ISWC 2015

AU - Saleem, Muhammad

AU - Ali, Muhammad Intizar

AU - Hogan, Aidan

AU - Mehmood, Qaiser

AU - Ngonga Ngomo, Axel Cyrille

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - We present LSQ: a Linked Dataset describing SPARQL queries extracted from the logs of public SPARQL endpoints. We argue that LSQ has a variety of uses for the SPARQL research community, be it for example to generate custom benchmarks or conduct analyses of SPARQL adoption. We introduce the LSQ data model used to describe SPARQL query executions as RDF. We then provide details on the four SPARQL endpoint logs that we have RDFised thus far. The resulting dataset contains 73 million triples describing 5.7 million query executions.

AB - We present LSQ: a Linked Dataset describing SPARQL queries extracted from the logs of public SPARQL endpoints. We argue that LSQ has a variety of uses for the SPARQL research community, be it for example to generate custom benchmarks or conduct analyses of SPARQL adoption. We introduce the LSQ data model used to describe SPARQL query executions as RDF. We then provide details on the four SPARQL endpoint logs that we have RDFised thus far. The resulting dataset contains 73 million triples describing 5.7 million query executions.

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A2 - Arenas, Marcelo

A2 - Corcho, Oscar

A2 - Simperl, Elena

A2 - Strohmaier, Markus

A2 - d’Aquin, Mathieu

A2 - Srinivas, Kavitha

A2 - Groth, Paul

A2 - Dumontier, Michel

A2 - Heflin, Jeff

A2 - Thirunarayan, Krishnaprasad

A2 - Staab, Steffen

PB - Springer-Verlag

Y2 - 11 October 2015 through 15 October 2015

ER -

Saleem M, Ali MI, Hogan A, Mehmood Q, Ngonga Ngomo AC. LSQ: The linked SPARQL queries dataset. In Arenas M, Corcho O, Simperl E, Strohmaier M, d’Aquin M, Srinivas K, Groth P, Dumontier M, Heflin J, Thirunarayan K, Staab S, editors, The Semantic Web – ISWC 2015 - 14th International Semantic Web Conference, Proceedings. Springer-Verlag. 2015. p. 261-269. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-25010-6_15

LSQ: The linked SPARQL queries dataset

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