TOWARDS A FRAMEWORK FOR ENGINEERING BIG DATA: AN AUTOMOTIVE SYSTEMS PERSPECTIVE

DS 92: Proceedings of the DESIGN 2018 15th International Design Conference

Year: 2018
Editor: Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N.
Author: Byrne, Thomas James; Campean, Felician; Neagu, Daniel
Series: DESIGN
Section: DESIGN INFORMATION AND KNOWLEDGE
Page(s): 1511-1522
DOI number: https://doi.org/10.21278/idc.2018.0490

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.

Keywords: knowledge management, big data analysis, design models

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