Developing a Benchmark Suite for Semantic Web Data from Existing Workflows

Antonis Troumpoukis; Angelos Charalambidis; Giannis Mouchakis; Stasinos Konstantopoulos; Ronald Siebes; Victor de Boer; Stian Soiland-Reyes; Daniela Digles

doi:10.5281/zenodo.159568

Developing a Benchmark Suite for Semantic Web Data from Existing Workflows

Antonis Troumpoukis, Angelos Charalambidis, Giannis Mouchakis, Stasinos Konstantopoulos, Ronald Siebes, Victor de Boer, Stian Soiland-Reyes, Daniela Digles

Research output: Contribution to conference › Paper › peer-review

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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.

Original language	English
Number of pages	12
DOIs	https://doi.org/10.5281/zenodo.159568
Publication status	Published - 6 Oct 2016
Event	Workshop on Benchmarking Linked Data: An ISWC workshop - ISWC 2016, Kobe, Japan Duration: 17 Oct 2016 → 21 Oct 2016 https://project-hobbit.eu/events/blink-2016/

Workshop

Workshop	Workshop on Benchmarking Linked Data
Abbreviated title	BLINK
Country/Territory	Japan
City	Kobe
Period	17/10/16 → 21/10/16
Internet address	https://project-hobbit.eu/events/blink-2016/

Keywords

Triple store benchmarking
Pharmacology data
Distributed and federated querying
Linked Data
RDF
SPARQL
benchmarking

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10.5281/zenodo.159568Licence: Other

BLINK_2016_paper_2Accepted author manuscript, 247 KBLicence: Unspecified

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Cite this

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title = "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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AU - Troumpoukis, Antonis

AU - Charalambidis, Angelos

AU - Mouchakis, Giannis

AU - Konstantopoulos, Stasinos

AU - Siebes, Ronald

AU - de Boer, Victor

AU - Soiland-Reyes, Stian

AU - Digles, Daniela

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PY - 2016/10/6

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N2 - 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.

AB - 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.

KW - Triple store benchmarking

KW - Pharmacology data

KW - Distributed and federated querying

KW - Linked Data

KW - RDF

KW - SPARQL

KW - benchmarking

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M3 - Paper

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Y2 - 17 October 2016 through 21 October 2016

ER -

Developing a Benchmark Suite for Semantic Web Data from Existing Workflows

Abstract

Workshop

Keywords

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