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https://doi.org/10.5281/zenodo...
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Developing A Benchmark Suite For Semantic Web Data From Existing Workflows

descriptionPublicationkeyboard_double_arrow_right Conference object , Article , Other literature type 01 Jan 2016 United Kingdom, Netherlands Publisher:ZenodoJournal:CEUR Workshop Proceedings, volume 1,700 (issn: 1613-0073, Copyright policy )Funded by:EC | BioExcel, EC | BigDataEurope
Authors: Troumpoukis, Antonis; Charalambidis, Angelos; Mouchakis, Giannis; Konstantopoulos, Stasinos; Siebes, Ronald; de Boer, Victor; Soiland-Reyes, Stian; +1 Authors

doi: 10.5281/zenodo.159568

handle: 1871.1/0037c91b-bd01-48ed-9dd3-ba8c71104a34

Developing A Benchmark Suite For Semantic Web Data From Existing Workflows

Abstract

This paper presents work in progress towards developing a new benchmark for federated query processing systems. Unlike other popular benchmarks, our queryset is not driven by technical evaluation, but is derived from workflows established by the pharmacology community. The value of this queryset is that it is realistic but at the same time it comprises complex queries that test all features of modern query processing systems.

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United Kingdom, Netherlands
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Keywords

Triple store benchmarking, SDG 17 - Partnerships for the Goals, Linked Data, benchmarking, Pharmacology data, SPARQL, RDF, Distributed and federated querying

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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Aurora Universities Network
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