SRBench: A streaming RDF/SPARQL benchmark

Corcho, Oscar; Calbimonte, JP.; Zhang, Ying y Duc, Pham Minh (2012). SRBench: A streaming RDF/SPARQL benchmark. En: "The Semantic Web? ISWC 2012", 10/11/2012 - 15/11/2012, Boston (Estados Unidos). ISBN 978-3-642-35175-4. pp. 641-657.


Título: SRBench: A streaming RDF/SPARQL benchmark
  • Corcho, Oscar
  • Calbimonte, JP.
  • Zhang, Ying
  • Duc, Pham Minh
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: The Semantic Web? ISWC 2012
Fechas del Evento: 10/11/2012 - 15/11/2012
Lugar del Evento: Boston (Estados Unidos)
Título del Libro: The Semantic Web – ISWC 2012
Fecha: 2012
ISBN: 978-3-642-35175-4
Volumen: 7649
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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We introduce SRBench, a general-purpose benchmark primarily designed for streaming RDF/SPARQL engines, completely based on real-world data sets from the Linked Open Data cloud. With the increasing problem of too much streaming data but not enough tools to gain knowledge from them, researchers have set out for solutions in which Semantic Web technologies are adapted and extended for publishing, sharing, analysing and understanding streaming data. To help researchers and users comparing streaming RDF/SPARQL (strRS) engines in a standardised application scenario, we have designed SRBench, with which one can assess the abilities of a strRS engine to cope with a broad range of use cases typically encountered in real-world scenarios. The data sets used in the benchmark have been carefully chosen, such that they represent a realistic and relevant usage of streaming data. The benchmark defines a concise, yet omprehensive set of queries that cover the major aspects of strRS processing. Finally, our work is complemented with a functional evaluation on three representative strRS engines: SPARQLStream, C-SPARQL and CQELS. The presented results are meant to give a first baseline and illustrate the state-of-the-art.

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ID de Registro: 20397
Identificador DC:
Identificador OAI:
Identificador DOI: 10.1007/978-3-642-35176-1_40
URL Oficial:
Depositado por: Memoria Investigacion
Depositado el: 31 Oct 2013 15:17
Ultima Modificación: 21 Abr 2016 23:10
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