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Towards a framework for engineering big data: An automotive systems perspective
Byrne, Thomas J. Neagu, Daniel
Byrne, Thomas J.
Neagu, Daniel
Publication Date
2018-05
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© 2018 Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Croatia. Published by the above and the Design Society, Glasgow. Reproduced in accordance with the publisher's self-archiving policy.
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openAccess
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Abstract
Demand for more sophisticated models to meet big data expectations require significant data repository obligations, operating concurrently in higher-level applications. Current models provide only disjointed modelling paradigms. The proposed framework addresses the need for higher-level abstraction, using low-level logic in the form of axioms, from which higher-level functionality is logically derived. The framework facilitates definition and usage of subjective structures across the cyber-physical system domain, and is intended to converge the range of heterogeneous data-driven objects.
Version
Published version
Citation
Byrne TJ, Campean F and Neagu D (2018) Towards a framework for engineering big data: An automotive systems perspective. 15th International Design Conference (Proceedings) - Design 2018. 21-24 May 2018. Dubrovnik, Croatia.
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Conference paper