RiverBench is an open, community-driven RDF streaming benchmark suite. It includes a varied collection of datasets and tasks, representing many real-life use cases. It can be used for benchmarking and testing of streaming and non-streaming RDF engines, compression algorithms, triple stores, and other tools.
✨ All information about using RiverBench and contributing to it can be found on the website.
❓ How to use RiverBench in your study? See the quick start guide on the website.
If you use RiverBench in your research, please cite the most recent paper about the suite:
Sowinski, P., Ganzha, M., & Paprzycki, M. (2023). RiverBench: an Open RDF Streaming Benchmark Suite. arXiv preprint arXiv:2305.06226.
Or use this BibTeX entry:
@article{sowinski2023riverbench,
title={RiverBench: an Open RDF Streaming Benchmark Suite},
author={Sowinski, Piotr and Ganzha, Maria and Paprzycki, Marcin},
journal={arXiv preprint arXiv:2305.06226},
year={2023},
url={https://doi.org/10.48550/arXiv.2305.06226},
doi={10.48550/arXiv.2305.06226}
}Read more about licensing and citation.
Below is a snapshot of the latest development version of the suite:
- Rights: The metadata, documentation, and ontologies of RiverBench are licensed under the Creative Commons Attribution 4.0 license. The source code of RiverBench is licensed under the Apache License, Version 2.0. The included datasets are licensed under their respective free licenses, listed in their documentation pages. (en)
- Homepage: RiverBench (dev)
- Theme taxonomy: EuroVoc (eurovoc:100141)
- Has benchmark category:
- Has dataset:
- assist-iot-weather (dev)
- assist-iot-weather-graphs (dev)
- citypulse-traffic (dev)
- citypulse-traffic-graphs (dev)
- dbpedia-live (dev)
- digital-agenda-indicators (dev)
- linked-spending (dev)
- lod-katrina (dev)
- muziekweb (dev)
- nanopubs (dev)
- officegraph (dev)
- openaire-lod (dev)
- osm2rdf-denmark (dev)
- politiquices (dev)
- yago-annotated-facts (dev)