publication . Conference object . Other literature type . Article . 2016

Developing a Benchmark Suite for Semantic Web Data from Existing Workflows

Troumpoukis, A.; Charalambidis, A.; Mouchakis, G.; Konstantopoulos, S.; Siebes, R.; Boer, V.; Stian Soiland-Reyes; Digles, D.;
Open Access
  • Published: 18 Oct 2016
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.
Subjects
free text keywords: Triple store benchmarking, Pharmacology data, Distributed and federated querying, Linked Data, RDF, SPARQL, benchmarking, Computer Science(all)
Related Organizations
Funded by
EC| BigDataEurope
Project
BigDataEurope
Integrating Big Data, Software and Communities for Addressing Europe’s Societal Challenges
  • Funder: European Commission (EC)
  • Project Code: 644564
  • Funding stream: H2020 | CSA
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publication . Conference object . Other literature type . Article . 2016

Developing a Benchmark Suite for Semantic Web Data from Existing Workflows

Troumpoukis, A.; Charalambidis, A.; Mouchakis, G.; Konstantopoulos, S.; Siebes, R.; Boer, V.; Stian Soiland-Reyes; Digles, D.;