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Towards a framework for engineering big data: An automotive systems perspective

Yes / 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.

Identiferoai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/15655
Date05 1900
CreatorsByrne, Thomas J., Campean, Felician, Neagu, Daniel
Source SetsBradford Scholars
LanguageEnglish
Detected LanguageEnglish
TypeConference paper, Published version
Rights© 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., Unspecified

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