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Evaluation of a Representative Selection of SPARQL Query Engines using Wikidata

DOI

This repository contains analysis and supplementary information for the ESWC 2023 paper Evaluation of a Representative Selection of SPARQL Query Engines using Wikidata.

Repository Description:

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.

🏦 Funding & Support

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:

📖 Citation

@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}
}

📧 Contact

⚖️ License

The code in this package is licensed under the MIT License. The model, data, and results are licensed under the CC Zero license.

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