Code and benchmark for NPCS, a Native Provenance Computation for SPARQL

Code for the implementation and benchmark of NPCS, a Native Provenance Computation for SPARQL. The code in this dataset includes the implementation of the NPCS system, which is a middleware for SPARQL endpoints that rewrites queries to queries that annotate answers with provenance polynomials (i.e., how-provenance data). The translation rules implemented for the query rewriting can be seen in the paper. Also, the code contains scripts that include scripts and services to automatize the query execution. We use GraphDB (version 10.2.0) and Stardog (version 9.1.0) for the SPARQL endpoints. Because of the license restrictions, these software products cannot be included in this dataset and must be downloaded from the respective vendors. Also, the data must be loaded using the respective bulk loaders of GraphDB and Stardog. The datasets used in the experiments can be generated synthetic dataset generator of the WatDiv benchmark. The Wikidata dataset corresponds to the full RDF dump from May 22, 2023. Do not hesitate to contact the authors for any inquiries.

本数据集包含NPCS（本地溯源计算）实现和基准测试的代码，NPCS是一种针对SPARQL端点的中间件，能够将查询重写为带有溯源多项式（即溯源数据）的查询。数据集中包含NPCS系统的实现代码，以及用于自动执行查询的脚本和服务。本数据集采用了GraphDB（版本10.2.0）和Stardog（版本9.1.0）作为SPARQL端点。由于许可限制，这些软件产品无法包含在本数据集中，用户需从相应供应商处下载。此外，数据需使用GraphDB和Stardog各自的批量加载器进行加载。实验中使用的数据集可由WatDiv基准测试的合成数据集生成器生成。Wikidata数据集对应于2023年5月22日的完整RDF存档。如对数据集有任何疑问，请随时联系作者。