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

Amani Abu Jabal · Elisa Bertino

4 citations0/0 files storedIEEE International Conference on Collaboration and Internet Computing (CIC)

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

Abstract

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.

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References

2005A survey of data provenance in e-science 2002Chimera: a virtual data system for representing, querying, and automating data derivation 2012SPADE: Support for Provenance Auditing in Distributed Environments 2004Semantically Linking and Browsing Provenance Logs for E-science 2010Techniques for efficiently querying scientific workflow provenance graphs 2008Choosing a Data Model and Query Language for Provenance 2008Kepler/pPOD: Scientific Workflow and Provenance Support for Assembling the Tree of Life 2008The Open Provenance Model (v1.01)

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