Record link: 
http://hdl.handle.net/20.500.12708/227990
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Title: 
A Methodology to Convert Tacit Knowledge into Explicit Knowledge - Smart Building Use Case
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Citation: 
Bilal, M., Steindl, G., Thoma, M. A., & Kastner, W. (2025). A Methodology to Convert Tacit Knowledge into Explicit Knowledge - Smart Building Use Case. In 2024 International Conference on Computer and Applications (ICCA). 2024 International Conference on Computer and Applications (ICCA), Cairo, Egypt. IEEE. https://doi.org/10.1109/ICCA62237.2024.10927754
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Publisher DOI: 
10.1109/ICCA62237.2024.10927754
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Bilal, Mohammad 
Steindl, Gernot 
Thoma, Max Albin 
Kastner, Wolfgang 
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Organisational Unit: 
E191-03 - Forschungsbereich Automation Systems 
E056-16 - Fachbereich SafeSeclab 
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Published in: 
2024 International Conference on Computer and Applications (ICCA) 
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ISBN: 
979-8-3503-6756-0
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DOI of the book: 
10.1109/ICCA62237.2024
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Date (published): 
26-Mar-2025
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Event name: 
2024 International Conference on Computer and Applications (ICCA) 
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Event date: 
17-Dec-2024 - 19-Dec-2024
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Event place: 
Cairo, Egypt
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Number of Pages: 
8
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Publisher: 
IEEE
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Peer reviewed: 
Yes
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Keywords: 
Causal Relations; Causality Chain; Cyber-physical system; Knowledge Management; Smart Building; Tacit Knowledge
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Abstract: 
Managing energy in smart buildings involves complex interactions best understood by domain experts. This work introduces the Tacit Knowledge Tree (TKT) methodology, which is a 4-stage framework to capture and structure tacit knowledge into semi-structured formats. TKT maps causal relationships of events to enhance cyber-physical system explainability and decision-making. TKT has been applied to a smart building use case for evaluation.
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 100%
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Appears in Collections:
Conference Paper

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