Developing a benchmark suite for semantic web data from existing workflows

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

Research output: Contribution to JournalArticleAcademicpeer-review

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 languageEnglish
JournalCEUR Workshop Proceedings
Volume1700
DOIs
Publication statusPublished - 2016

Fingerprint

Query processing
Semantic Web

Keywords

  • Distributed and federated querying
  • Pharmacology data
  • Triple store benchmarking

Cite this

Troumpoukis, Antonis ; Charalambidis, Angelos ; Mouchakis, Giannis ; Konstantopoulos, Stasinos ; Siebes, Ronald ; de Boer, Viktor ; Soiland-Reyes, Stian ; Digles, Daniela. / Developing a benchmark suite for semantic web data from existing workflows. In: CEUR Workshop Proceedings. 2016 ; Vol. 1700.
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Troumpoukis, A, Charalambidis, A, Mouchakis, G, Konstantopoulos, S, Siebes, R, de Boer, V, Soiland-Reyes, S & Digles, D 2016, 'Developing a benchmark suite for semantic web data from existing workflows' CEUR Workshop Proceedings, vol. 1700. https://doi.org/10.5281/zenodo.159568

Developing a benchmark suite for semantic web data from existing workflows. / Troumpoukis, Antonis; Charalambidis, Angelos; Mouchakis, Giannis; Konstantopoulos, Stasinos; Siebes, Ronald; de Boer, Viktor; Soiland-Reyes, Stian; Digles, Daniela.

In: CEUR Workshop Proceedings, Vol. 1700, 2016.

Research output: Contribution to JournalArticleAcademicpeer-review

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