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Knowledge Base Repository

In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

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

Byrne, Thomas James; Campean, Felician; Neagu, Daniel

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Type:
Papers
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
DESIGN 2018 - 15th International Design Conference
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