no / 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.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/15655 |
| Date | 05 1900 |
| Creators | Byrne, Thomas J., Campean, Felician, Neagu, Daniel |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Conference 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. |
Page generated in 0.0025 seconds