This repository contains analysis and supplementary information for the ESWC 2023 paper Evaluation of a Representative Selection of SPARQL Query Engines using Wikidata.
Due to large files, all of the query results were uploaded to Zenodo.
Directory | Description |
---|---|
AnalyzedResults | The combined results of all queries for each triplestores: query statistics, types (timeout, success, error), execution times, types of errors, etc. |
ExecutionPlan | The execution plan of all queries from the triplestores |
Queries | The queries of the two benchmarks |
Scripts | The scripts to install, initialize and evaluate the triplestores. |
This work has been funded by the following projects:
Project | Grant Agreement No |
---|---|
DataBench-Norway (NFR) | 310134 |
SkyTrack (NFR) | 309714 |
DataBench (EU 2020) | 780966 |
VesselAI (EU H2020) | 957237 |
Iliad (EU H2020) | 101037643 |
enRichMyData (HEU) | 101070284 |
Graph-Massivizer (HEU) | 101093202 |
Circular TwAIn (HEU) | 101058585 |
This work has been supported by several organizations:
@inproceedings{lam2023evaluation,
title={Evaluation of a Representative Selection of SPARQL Query Engines Using Wikidata},
author={Lam, An Ngoc and Elves{\ae}ter, Brian and Martin-Recuerda, Francisco},
booktitle={The Semantic Web: 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28--June 1, 2023, Proceedings},
pages={679--696},
year={2023},
organization={Springer}
}
- An Lam [email protected]
- Brian Elvesæter [email protected]
- Francisco Martin-Recuerda [email protected]
The code in this package is licensed under the MIT License. The model, data, and results are licensed under the CC Zero license.