| 1. |
- Bomström, Henri, et al.
(författare)
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Digital Twins About Humans—Design Objectives From Three Projects
- 2022
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Ingår i: Journal of Computing and Information Science in Engineering. - : The American Society of Mechanical Engineers. - 1530-9827 .- 1944-7078. ; 22:5
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Tidskriftsartikel (refereegranskat)abstract
- Digital twin (DT) emerges as a key concept of the Industry 4.0 paradigm and beyond. However, the current literature lacks focus on humans and human activities as a part of complex system DTs. Acknowledging human aspects in DTs can enhance work performance, well-being, motivation, and personal development of professionals. This study examines emerging requirements for human digital twins (HDTs) in three use cases of industry–academia collaboration on complex systems. The results draw together the overall design problem and four design objectives for HDTs. We propose to combine the machine and human-related aspects of DTs and highlight the need for virtual-to-virtual interoperability between HDTs and machines alike. Furthermore, we outline differences between humans and machines regarding digital twinning by addressing human activities and knowledge-based behavior on systems. Design of HDTs requires understanding of individual professional characteristics, such as skills and information preferences, together with twinning between the physical and digital machine entities and interactions between the human and machine DTs. As the field moves toward including humans as a part of the DT concept, incorporating HDTs in complex systems emerges as an increasingly significant issue.
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| 2. |
- Teern, Anna, et al.
(författare)
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Design Objectives for Evolvable Knowledge Graphs
- 2023
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Ingår i: Complex Systems Informatics and Modeling Quarterly. - : Riga Technical University. - 2255-9922. ; :36, s. 1-15
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Tidskriftsartikel (refereegranskat)abstract
- Knowledge graphs (KGs) structure knowledge to enable the development of intelligent systems across several application domains. In industrial maintenance, comprehensive knowledge of the factory, machinery, and components is indispensable. This study defines the objectives for evolvable KGs, building upon our prior research, where we initially identified the problem in industrial maintenance. Our contributions include two main aspects: firstly, the categorization of learning within the KG construction process and the identification of design objectives for the KG process focusing on supporting industrial maintenance. The categorization highlights the specific requirements for KG design, emphasizing the importance of planning for maintenance and reuse.
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| 3. |
- Teern, Anna, et al.
(författare)
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Knowledge graph construction and maintenance process: Design challenges for industrial maintenance support
- 2022
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Ingår i: BIR 2022 Workshops and Doctoral Consortium. - : CEUR-WS. ; , s. 1-13
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Konferensbidrag (refereegranskat)abstract
- Knowledge graphs (KGs) structure knowledge to develop intelligent systems in several application domains. Industrial maintenance support requires knowledge and expertise on a variety of aspects of the factory, machinery, and components. However, the actual creation and maintenance process of KGs has remained unelaborated. We review the KG literature to integrate previous models into one process model also incorporating knowledge engineering principles within. The literature review and a subsequent case study together represent the problem and objectives definition phases of a design science project. The contributions include the integrated process model for KG creation and maintenance and the initially observed design challenges in the KG process operationalisation in a context of supporting industrial maintenance.
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