<div class="csl-bib-body">
<div class="csl-entry">Abouda, G., Aebeloe, C., Dell’Aglio, D., Keen, A., & Hose, K. (2023). StarBench: Benchmarking RDF-star Triplestores. In M. U. Saleem, A.-C. Ngonga Ngomo, D. Graux, F. Orlandi, E. Niazmand, G. Ydler, & M.-E. Vidal (Eds.), <i>Joint Proceedings of the QuWeDa and MEPDaW 2023: 7th Workshop on Storing, Querying and Benchmarking Knowledge Graphs and 9th Workshop on Managing the Evolution and Preservation of the Data Web (QuWeDa-MEPDaW 2023)</i> (pp. 34–49). CEUR-WS.org. https://doi.org/10.34726/5399</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/192995
-
dc.identifier.uri
https://doi.org/10.34726/5399
-
dc.description.abstract
RDF-star has rapidly gained popularity as a way to annotate RDF statements while avoiding the disadvantages of reification. Hence, a number of triplestores supporting this new standard have become available. Yet, it is difficult to assess the performance of these systems and to which degree they support RDF-star and the corresponding SPARQL-star query language. Hence, in this paper, we propose StarBench, a benchmark for testing SPARQL-star support and runtime performance. We ran StarBench on a number of state-of-the-art triplestores with RDF-star and SPARQL-star support and share our findings. Based on these findings, we highlight existing challenges and research opportunities.
en
dc.language.iso
en
-
dc.relation.ispartofseries
CEUR Workshop Proceedings
-
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
-
dc.subject
Benchmark
en
dc.subject
RDF-star
en
dc.subject
SPARQL-star
en
dc.subject
Triplestores
en
dc.subject
Related Work
en
dc.subject
SPARQL query engines
en
dc.subject
Baseline
en
dc.subject
Solution modifiers
en
dc.subject
StarBench Queries
en
dc.subject
AnzoGraph
en
dc.subject
BlazeGraph
en
dc.title
StarBench: Benchmarking RDF-star Triplestores
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34726/5399
-
dc.contributor.affiliation
Aalborg University, Denmark
-
dc.contributor.affiliation
Aalborg University, Denmark
-
dc.contributor.affiliation
Aalborg University, Denmark
-
dc.contributor.affiliation
ArangoDB, San Francisco, United States
-
dc.contributor.editoraffiliation
Paderborn University, Germany
-
dc.contributor.editoraffiliation
Paderborn University, Germany
-
dc.contributor.editoraffiliation
Huawei Technologies (United Kingdom), United Kingdom of Great Britain and Northern Ireland (the)
-
dc.contributor.editoraffiliation
Trinity College Dublin, Ireland
-
dc.contributor.editoraffiliation
Leibniz University Hannover and Technische Informationsbibliothek (TIB), Germany
-
dc.contributor.editoraffiliation
Leibniz University Hannover and Technische Informationsbibliothek (TIB), Germany
-
dc.contributor.editoraffiliation
Leibniz University Hannover and Technische Informationsbibliothek (TIB), Germany
-
dc.description.startpage
34
-
dc.description.endpage
49
-
dc.rights.holder
2023 The Authors
-
dc.type.category
Full-Paper Contribution
-
dc.relation.eissn
1613-0073
-
tuw.booktitle
Joint Proceedings of the QuWeDa and MEPDaW 2023: 7th Workshop on Storing, Querying and Benchmarking Knowledge Graphs and 9th Workshop on Managing the Evolution and Preservation of the Data Web (QuWeDa-MEPDaW 2023)
-
tuw.container.volume
3565
-
tuw.peerreviewed
true
-
tuw.book.ispartofseries
CEUR Workshop Proceedings
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tuw.relation.publisher
CEUR-WS.org
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tuw.researchTopic.id
I1
-
tuw.researchTopic.name
Logic and Computation
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
dc.identifier.libraryid
AC17204395
-
dc.description.numberOfPages
16
-
tuw.author.orcid
0000-0003-3186-1607
-
tuw.author.orcid
0000-0003-4904-2511
-
tuw.author.orcid
0000-0001-7025-8099
-
dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.editor.orcid
0000-0002-0617-9975
-
tuw.editor.orcid
0000-0001-7112-3516
-
tuw.editor.orcid
0000-0001-8194-8079
-
tuw.event.name
7th Workshop on Storing, Querying and Benchmarking Knowledge Graphs and 9th Workshop on Managing the Evolution and Preservation of the Data Web (QuWeDa-MEPDaW 2023)
en
dc.description.sponsorshipexternal
Independent Research Fund Denmark (DFF)
-
dc.relation.grantnoexternal
DFF-8048-00051B
-
tuw.event.startdate
06-11-2023
-
tuw.event.enddate
10-11-2023
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tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Athen
-
tuw.event.country
GR
-
tuw.event.presenter
Keen, Arthur
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wb.sciencebranch
Informatik
-
wb.sciencebranch
Mathematik
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1010
-
wb.sciencebranch.value
80
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wb.sciencebranch.value
20
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item.openaccessfulltext
Open Access
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item.languageiso639-1
en
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.mimetype
application/pdf
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item.fulltext
with Fulltext
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item.cerifentitytype
Publications
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open
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conference paper
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crisitem.author.dept
Aalborg University, Denmark
-
crisitem.author.dept
Aalborg University, Denmark
-
crisitem.author.dept
Aalborg University, Denmark
-
crisitem.author.dept
ArangoDB, San Francisco, United States
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
