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Performance measurements of SPARQL endpoints

Hasan, Marwan
(2016)

Files

HASAN_91991500_2015.pdf
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  • 6.74 MB

Details

Supervisors
Sadre, Ramin
Faculty
Ecole polytechnique de Louvain
Degree label
Master [60] en sciences informatiques
Abstract
Publishing and interlinking structured data as RDF datasets have become the established standard for making data available as Linked Data on the Semantic Web. Consuming such data requires creating a globally distributed dataspace, often called the Web of Data, with an RDF database engine providing some query language. The standard query language for RDF datasets is the SPARQL language. A SPARQL endpoint is a SPARQL protocol service that enables users, (could be either human or machine) to query a knowledge base and return the results in one or more machine-processable formats. Therefore, SPARQL endpoints are basically designed as a machine-friendly interface towards a knowledge base. There is difficulty to decide which solution one’s should adopt because there are only few comprehensive comparisons of existing SPARQL endpoints with respect to performance. The SPARQLES system provides a framework for monitoring the performance of different SPARQL endpoints in general. We have made a performance comparison between some public SPARQL endpoints and summarize their performance outcomes with respect to availability and response time. The following endpoints are compared: DBPedia, French DBPedia, Italian DBPedia, Japanese DBPedia and Spanish DBPedia. Furthermore, we have also evaluated the performance of the above endpoints from two different locations: Belgium and USA.