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LSQ: Linked SPARQL Queries Dataset


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

Publication Type: 
Refereed Conference Meeting Proceeding
In this paper, we present LSQ -- a Linked Dataset describing SPARQL queries extracted from the logs of four prominent public SPARQL endpoints. We argue that this dataset has a variety of uses for the SPARQL research community, be it to generate custom benchmarks, conduct analyses of SPARQL adoption, see how agents interact with endpoints, find queries mentioning a resource, etc. We first motivate our dataset by reference to a number of concrete use cases. We discuss how we describe SPARQL queries in RDF, using a mix of existing vocabularies (e.g., SPIN) and a custom vocabulary. We then RDFise four SPARQL logs from prominent endpoints and provide analysis of the resulting LSQ Dataset.
Conference Name: 
ISWC20015 Data and Ontologies
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Publication Date: 
Conference Location: 
United States of America
Research Group: 
National University of Ireland, Galway (NUIG)
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