StarBench: Benchmarking RDF-star Triplestores

Ghadeer Abuoda; Christian Aebeloe; Daniele Dell'Aglio; Arthur Keen; Katja Hose

StarBench: Benchmarking RDF-star Triplestores

Ghadeer Abuoda^*, Christian Aebeloe, Daniele Dell'Aglio, Arthur Keen, Katja Hose

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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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.

Original language	English
Title of host publication	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 co-located with 22nd International Semantic Web Conference (ISWC 2023)
Number of pages	16
Publisher	CEUR Workshop Proceedings
Publication date	2023
Publication status	Published - 2023
Event	QuWeDa 2023: 7th Workshop on Storing, Querying and Benchmarking Knowledge Graphs - Athen, Greece Duration: 6 Nov 2023 → 10 Nov 2023

Conference

Conference	QuWeDa 2023: 7th Workshop on Storing, Querying and Benchmarking Knowledge Graphs
Country/Territory	Greece
City	Athen
Period	06/11/2023 → 10/11/2023

Series	CEUR Workshop Proceedings
Volume	3565
ISSN	1613-0073

Keywords

RDF
RDF-star
Property graphs

Access to Document

Open Access articleFinal published version, 2.6 MBLicence: CC BY 4.0

https://ceur-ws.org/Vol-3565/QuWeDa2023-paper4.pdfLicence: CC BY 4.0

AUB Link

Search for the material in Aalborg University Library's search engine

Poul Due Jensen Professorate in Big Data and Artificial Intelligence
Hose, K., Jendal, T. E. & Hansen, E. R.
01/11/2019 → 31/10/2024
Project: Research
RelWeb: A Reliable Web of Data
Hose, K.
01/09/2019 → 31/08/2024
Project: Research

Cite this

Abuoda, G., Aebeloe, C., Dell'Aglio, D., Keen, A., & Hose, K. (2023). StarBench: Benchmarking RDF-star Triplestores. In 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 co-located with 22nd International Semantic Web Conference (ISWC 2023) CEUR Workshop Proceedings. https://ceur-ws.org/Vol-3565/QuWeDa2023-paper4.pdf

Abuoda, Ghadeer ; Aebeloe, Christian ; Dell'Aglio, Daniele et al. / StarBench : Benchmarking RDF-star Triplestores. 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 co-located with 22nd International Semantic Web Conference (ISWC 2023). CEUR Workshop Proceedings, 2023. (CEUR Workshop Proceedings, Vol. 3565).

@inproceedings{012828ce7fde43849b577bf22df5ff52,

title = "StarBench: Benchmarking RDF-star Triplestores",

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-starand the corresponding SPARQL-star query language. Hence, in this paper, we propose StarBench, abenchmark for testing SPARQL-star support and runtime performance. We ran StarBench on a numberof state-of-the-art triplestores with RDF-star and SPARQL-star support and share our findings. Based onthese findings, we highlight existing challenges and research opportunities.",

keywords = "RDF, RDF-star, Property graphs",

author = "Ghadeer Abuoda and Christian Aebeloe and Daniele Dell'Aglio and Arthur Keen and Katja Hose",

year = "2023",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR Workshop Proceedings",

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 co-located with 22nd International Semantic Web Conference (ISWC 2023)",

note = "QuWeDa 2023: 7th Workshop on Storing, Querying and Benchmarking Knowledge Graphs ; Conference date: 06-11-2023 Through 10-11-2023",

}

Abuoda, G, Aebeloe, C , Dell'Aglio, D, Keen, A & Hose, K 2023, StarBench: Benchmarking RDF-star Triplestores. in 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 co-located with 22nd International Semantic Web Conference (ISWC 2023). CEUR Workshop Proceedings, CEUR Workshop Proceedings, vol. 3565, QuWeDa 2023: 7th Workshop on Storing, Querying and Benchmarking Knowledge Graphs , Athen, Greece, 06/11/2023. <https://ceur-ws.org/Vol-3565/QuWeDa2023-paper4.pdf>

StarBench: Benchmarking RDF-star Triplestores. / Abuoda, Ghadeer; Aebeloe, Christian ; Dell'Aglio, Daniele et al.
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 co-located with 22nd International Semantic Web Conference (ISWC 2023). CEUR Workshop Proceedings, 2023. (CEUR Workshop Proceedings, Vol. 3565).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - StarBench

T2 - QuWeDa 2023: 7th Workshop on Storing, Querying and Benchmarking Knowledge Graphs

AU - Abuoda, Ghadeer

AU - Aebeloe, Christian

AU - Dell'Aglio, Daniele

AU - Keen, Arthur

AU - Hose, Katja

PY - 2023

Y1 - 2023

N2 - 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-starand the corresponding SPARQL-star query language. Hence, in this paper, we propose StarBench, abenchmark for testing SPARQL-star support and runtime performance. We ran StarBench on a numberof state-of-the-art triplestores with RDF-star and SPARQL-star support and share our findings. Based onthese findings, we highlight existing challenges and research opportunities.

AB - 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-starand the corresponding SPARQL-star query language. Hence, in this paper, we propose StarBench, abenchmark for testing SPARQL-star support and runtime performance. We ran StarBench on a numberof state-of-the-art triplestores with RDF-star and SPARQL-star support and share our findings. Based onthese findings, we highlight existing challenges and research opportunities.

KW - RDF

KW - RDF-star

KW - Property graphs

M3 - Article in proceeding

T3 - CEUR Workshop Proceedings

BT - 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 co-located with 22nd International Semantic Web Conference (ISWC 2023)

PB - CEUR Workshop Proceedings

Y2 - 6 November 2023 through 10 November 2023

ER -

Abuoda G, Aebeloe C , Dell'Aglio D, Keen A, Hose K. StarBench: Benchmarking RDF-star Triplestores. In 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 co-located with 22nd International Semantic Web Conference (ISWC 2023). CEUR Workshop Proceedings. 2023. (CEUR Workshop Proceedings, Vol. 3565).

StarBench: Benchmarking RDF-star Triplestores

Abstract

Conference

Keywords

Access to Document

AUB Link

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Projects

Poul Due Jensen Professorate in Big Data and Artificial Intelligence

RelWeb: A Reliable Web of Data

Cite this