RiverBench

RiverBench是一个开放的RDF流式基准套件，由华沙理工大学和波兰科学院系统研究所共同创建。该数据集包含12个非合成数据集，涵盖多种RDF数据流应用，包括主要的任务公式和新兴的RDF特性（如RDF-star）。数据集通过一个公开、社区驱动的流程添加，确保满足一系列实用要求，如易访问性、良好描述和自由的许可证。RiverBench旨在成为一个可持续的、社区驱动的中心，用于流式RDF数据集，适用于多种研究应用，如基准测试流式RDF协议、评估压缩性能等。

RiverBench is an open RDF streaming benchmark suite jointly developed by Warsaw University of Technology and the Institute of Systems Research of the Polish Academy of Sciences. This collection includes 12 non-synthetic datasets covering a broad spectrum of RDF data streaming applications, incorporating core task formulations and emerging RDF features such as RDF-star. All datasets are added via a public, community-driven process to ensure compliance with a set of practical requirements, including easy accessibility, comprehensive documentation, and permissive open licenses. RiverBench aims to serve as a sustainable, community-driven hub for streaming RDF datasets, suitable for a wide range of research applications such as benchmarking streaming RDF protocols, evaluating compression performance, and more.

搜集汇总

背景与挑战

背景概述

RiverBench是一个RDF数据集的基准测试平台，提供多个标准化和可重用的数据集集合，如assist-iot-weather和citypulse-traffic，每个数据集都经过良好描述、验证和打包，并支持流式和平面变体分发。平台包含详细的元数据和基准测试类别，用于评估RDF数据处理性能。