A Comprehensive Query Language for Provenance Information

Amani Abu Jabal · Elisa Bertino

5 citations0/0 files storedInternational Journal of Cooperative Information Systems

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Scientific Computing and Data Management Research Data Management Practices Semantic Web and Ontologies

Abstract

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.

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2005A survey of data provenance in e-science 2008Karma2 2011Access Control for Databases: Concepts and Systems 2007Automatic capture and reconstruction of computational provenance 2007Query capabilities of the Karma provenance framework 2015A Distributed System for The Management of Fine-grained Provenance

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