https://github.com/sintef-9012/rdf-triplestore-benchmark
Results for the RDF triplestore benchmark
https://github.com/sintef-9012/rdf-triplestore-benchmark
benchmark rdf semantic-web triplestore
Last synced: 3 months ago
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Results for the RDF triplestore benchmark
- Host: GitHub
- URL: https://github.com/sintef-9012/rdf-triplestore-benchmark
- Owner: SINTEF-9012
- License: mit
- Created: 2022-04-27T10:49:39.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-06-09T08:24:07.000Z (almost 2 years ago)
- Last Synced: 2025-01-08T11:47:24.305Z (4 months ago)
- Topics: benchmark, rdf, semantic-web, triplestore
- Language: Shell
- Homepage:
- Size: 6.08 MB
- Stars: 0
- Watchers: 8
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Evaluation of a Representative Selection of SPARQL Query Engines using Wikidata
[](https://doi.org/10.5281/zenodo.6477753)
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](https://doi.org/10.5281/zenodo.6477753).
| **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:
- [Ontotext](https://www.ontotext.com/)
- [Oxford Semantic Technologies](https://www.oxfordsemantic.tech/)
### 📖 Citation
```bibtex
@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}
}
```
### :email: Contact
- An Lam
- Brian Elvesæter
- Francisco Martin-Recuerda
### ⚖️ License
The code in this package is licensed under the MIT License. The model, data, and results are licensed under the CC Zero license.