Benchmarking federated SPARQL query engines: Are existing testbeds enough?

Gabriela Montoya*, Maria Esther Vidal, Oscar Corcho, Edna Ruckhaus, Carlos Buil-Aranda

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

27 Citations (Scopus)


Testbeds proposed so far to evaluate, compare, and eventually improve SPARQL query federation systems have still some limitations. Some variables and configurations that may have an impact on the behavior of these systems (e.g., network latency, data partitioning and query properties) are not sufficiently defined; this affects the results and repeatability of independent evaluation studies, and hence the insights that can be obtained from them. In this paper we evaluate FedBench, the most comprehensive testbed up to now, and empirically probe the need of considering additional dimensions and variables. The evaluation has been conducted on three SPARQL query federation systems, and the analysis of these results has allowed to uncover properties of these systems that would normally be hidden with the original testbeds.

Original languageEnglish
Title of host publicationThe Semantic Web, ISWC 2012 - 11th International Semantic Web Conference, Proceedings
Number of pages12
Volume 7650 LNCS
Publication date12 Nov 2012
EditionPART 2
ISBN (Print)9783642351723
Publication statusPublished - 12 Nov 2012
Event11th International Semantic Web Conference, ISWC 2012 - Boston, MA, United States
Duration: 11 Nov 201215 Nov 2012


Conference11th International Semantic Web Conference, ISWC 2012
Country/TerritoryUnited States
CityBoston, MA
SponsorAI Journal, Fluid Operations, Oracle, Systap, Yahoo! Research
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7650 LNCS


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