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SPARUB: SPARQL UPDATE Benchmark

Damien Graux 1 Pierre Genevès 1 Nabil Layaïda 1
1 TYREX - Types and Reasoning for the Web
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble [2007-2015]
Abstract : One aim of the RDF data model, as standardized by the W3C, is to facilitate the evolution of data over time without requiring all the data consumers to be changed. To this end, one of the latest addition to the SPARQL standard query language is an update language for RDF graphs. The research on efficient and scalable SPARQL evaluation methods increasingly relies on standardized methodologies for benchmarking and comparing systems. However, current RDF benchmarks do not support graphs updates. We propose and share SPARUB: a benchmark for the SPARQL UPDATE language on RDF graphs. The aim of SPARUB is not to be yet another RDF benchmark. Instead it provides the mean to automatically extend and improve existing RDF benchmarks along a new dimension of data updates, while preserving their structure and query scenarios.
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https://hal.inria.fr/hal-01523496
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Submitted on : Tuesday, May 16, 2017 - 1:52:11 PM
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  • HAL Id : hal-01523496, version 1

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Damien Graux, Pierre Genevès, Nabil Layaïda. SPARUB: SPARQL UPDATE Benchmark. 2017. ⟨hal-01523496⟩

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