QL-SimP: Query Language for Secure Interoperable Multi-Granular Provenance Framework

We propose a query language for a secure interoperable multi-granular provenance framework. The proposed language is independent of the underlying provenance representation and supports different types of provenance queries. We have implemented the query language into our provenance framework which is integrated with CRIS - a real world system for managing scientific data. We have also evaluated our provenance queries based on relational and graph databases.