Abstract
We argue that the representation and formalization of complex engineering knowledge is the main aim of inquiries in the scientific field of Advanced Engineering Informatics. We introduce ontology and logic as underlying methods to formalize knowledge. We also suggest that it is important to account for the purpose of engineers and the context they work in while representing and formalizing knowledge. Based on the concepts of ontology, logic, purpose, and context, we discuss different possible research methods and approaches that scholars can use to formalize complex engineering knowledge and to validate whether a specific formalization can support engineers with their complex tasks. On the grounds of this discussion, we suggest that Advanced Engineering research efforts should be conducted in a bottom-up manner closely involving engineering practitioners. We also suggest that researchers make use of social science methods while eliciting knowledge to formalize and while validating their formalized knowledge.
Highlights
We argue that the representation and formalization of complex engineering knowledge is the main aim of inquiries in the scientific field of Advanced Engineering Informatics
This paper has developed a philosophical foundation for establishing a more coherent field of Advanced Engineering Informatics that is solidly based upon formalizing complex engineering knowledge
This foundation suggests that ontology and logic form the basis for scientific knowledge formalization efforts in the field of Advanced Engineering Informatics and that Advanced Engineering Informatics research needs to be concerned with purpose and context
Summary
Based on the concepts of ontology, logic, purpose, and context, we discuss different possible research methods and approaches that scholars can use to formalize complex engineering knowledge and to validate whether a specific formalization can support engineers with their complex tasks. Little research has provided insights into how the characteristics of computational tools influenced adoptions Those studies that did, showed that there seems to be a large difference between the general expectations of the engineers with the support that the tools could truly provide (Hartmann et al, 2012; Hartmann, 2011). This paradox of supporting today’s engineering work with adequate computational tools has triggered the engineering community to develop a new scientific field of study and inquiry: Advanced Engineering Informatics
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
