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.
Cite
CITATION STYLE
Saleem, M., Ali, M. I., Hogan, A., Mehmood, Q., & Ngonga Ngomo, A. C. (2015). LSQ: The linked SPARQL queries dataset. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9367, pp. 261–269). Springer Verlag. https://doi.org/10.1007/978-3-319-25010-6_15
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