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The LSQ Dataset: Querying for Queries


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

Publication Type: 
Refereed Conference Meeting Proceeding
With this poster, we will present the Linked SPARQL Query (LSQ) dataset, which describes SPARQL queries taken from the logs of public endpoints. We introduce the initial four query logs that we have taken and the extraction process applied: the types of meta-data captured, how the data are modelled, what vocabularies we use, etc. The LSQ dataset currently contains 73 million triples describing 5.7 million query executions and is publicly available as Linked Data and through a SPARQL endpoint. We believe that by providing insights on how SPARQL is used in practice, the LSQ dataset could benefit areas of SPARQL research, including caching, benchmarking, usability, optimisations, etc.
Conference Name: 
ISWC 2015 Poster and Demo
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Publication Date: 
Conference Location: 
United States of America
Research Group: 
National University of Ireland, Galway (NUIG)
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