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Effective Benchmarking for RDF Stores Using Synthetic Data

Owens, Alisdair, Gibbins, Nick and schraefel, mc (2008) Effective Benchmarking for RDF Stores Using Synthetic Data s.n.

Record type: Monograph (Project Report)


RDF stores are showing consistent performance improvements, with benchmarks showing that several are capable of effectively storing and querying over 10^9 triples. However, detailed information regarding the capabilities of the available systems is limited due to the fact that current benchmarks provide little configurability, and little depth on the strengths and weaknesses of the stores they test. This paper considers the deficiencies of current benchmarks with regards to measuring the performance of RDF stores, and goes on to describe the creation of a new system to run a greater variety of tests using highly configurable synthetically generated datasets. Finally, the benchmark is applied to existing large scale stores, and the results interpreted. This work is intended to inform future RDF store development, and allow application developers to choose a system appropriate to their specific needs.

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Submitted date: May 2008
Additional Information: Event Dates: 26/10/2008
Keywords: RDF, benchmarking, semantic web, synthetic data
Organisations: Web & Internet Science, Agents, Interactions & Complexity


Local EPrints ID: 266975
PURE UUID: a87a5d89-d4cd-4567-b9a6-e6c7af895866
ORCID for Nick Gibbins: ORCID iD

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Date deposited: 10 Dec 2008 11:29
Last modified: 18 Jul 2017 07:09

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Author: Alisdair Owens
Author: Nick Gibbins ORCID iD
Author: mc schraefel

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