DBSEFeb 26, 2014

CRISTAL-ISE : Provenance Applied in Industry

arXiv:1402.6742v114 citations
Originality Synthesis-oriented
AI Analysis

It addresses provenance management for industrial applications, but appears incremental as it builds on existing CRISTAL technology.

The paper presents the CRISTAL-iSE project as a framework for managing provenance information in industry, leveraging the CRISTAL system to enable dynamic and flexible systems through description-driven principles and versioned storage.

This paper presents the CRISTAL-iSE project as a framework for the management of provenance information in industry. The project itself is a research collaboration between academia and industry. A key factor in the project is the use of a system known as CRISTAL which is a mature system based on proven description driven principles. A crucial element in the description driven approach is that the fact that objects (Items) are described at runtime enabling managed systems to be both dynamic and flexible. Another factor is the notion that all Items in CRISTAL are stored and versioned, therefore enabling a provenance collection system. In this paper a concrete application, called Agilium, is briefly described and a future application CIMAG-RA is presented which will harness the power of both CRISTAL and Agilium.

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