five

FedShop200

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/7919871
下载链接
链接失效反馈
官方服务:
资源简介:
While several approaches to query a federation of SPARQL endpoints have been proposed in the literature, very little is known about the effectiveness of these approaches and the behaviour of the resulting query engines for cases in which the number of federation members increases. The existing benchmarks that are typically used to evaluate SPARQL federation engines do not consider such a form of scalability. In this paper, we set out to close this knowledge gap by investigating the behaviour of 4 state-of-the-art SPARQL federation engines using a novel benchmark designed for scalability experiments. Based on the benchmark, we show that scalability is a challenge for each of these engines, especially with respect to the effectiveness of their source selection \& query decomposition approaches. FedShop is freely available online at https://github.com/GDD-Nantes/FedShop.
创建时间:
2024-06-21
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作