The primary goal of this article in the research area of Advanced Engineering Informatics (AEIs) is to depict and formalize engineering knowledge that is multidimensional. This paper introduces conceptual framework and rationality as implicit methodologies to regularize knowledge. The objective of professionals, as well as the circumstances in which they work, should be considered when depicting and standardizing knowledge. The constructs of epistemology, rationality, and context are used to communicate various alternative data analysis techniques and practices that expert can use to institutionalize intricate engineering expertise and to substantiate whether a specialized conceptual model can support engineers with their challenging operations. A bottom-up method of research in advanced engineering, encompassing engineers, is suggested in this article. A social scientific approach to engendering knowledge for formalization and validating it is also recommended by us for scientists.
Advanced Engineering Informatics (AEIs), Data Analytics (DA), Knowledge Representation (KR).
Author(s) thanks to USAQuaid-I-Azam University for research lab and equipment support.
No funding was received to assist with the preparation of this manuscript.
The authors have no conflicts of interest to declare that are relevant to the content of this article.
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Mohammad Biglarbegian, “Formalization and Knowledge Representation in Advanced Engineering Informatics”, Journal of Computing and Natural Science, vol.2, no.1, pp. 008-014, January 2022. doi: 10.53759/181X/JCNS202202002.
© 2022 Mohammad Biglarbegian. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
