We design and implement a query language for a secure, interoperable, and multi-granular provenance framework, referred to as QL-SimP. Our language supports two provenance representations (relational and graph-based) due to its independence from the underlying provenance representation. It also supports various queries that can be utilized for difference provenance applications. We integrate Computational Research Infrastructure for Science (CRIS) — a real-world system for managing scientific data — with our provenance framework, thus making it possible to query CRIS provenance information by using our provenance language. We have also evaluated our provenance queries based on relational and graph databases.

中文翻译：

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出处信息的综合查询语言

我们为安全、可互操作和多粒度的出处框架设计并实现了一种查询语言，称为 QL-SimP。我们的语言支持两种出处表示（关系和基于图的），因为它独立于底层出处表示。它还支持可用于不同来源应用程序的各种查询。我们将科学计算研究基础设施 (CRIS) - 一个用于管理科学数据的真实系统 - 与我们的出处框架集成在一起，从而可以使用我们的出处语言查询 CRIS 出处信息。我们还评估了基于关系和图形数据库的出处查询。