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As interdisciplinary science is flourishing because of materials informatics and additional factors; a systematic way is required for expressing knowledge and facilitating communication between scientists in various fields. A function decomposition tree is such a representation, but domain scientists face difficulty in constructing it. Thus, this study cites the general problems encountered by beginners in generating function decomposition trees and proposes a new function decomposition representation method based on a causality-first perspective for resolution of these problems. The causality-first decomposition tree was obtained from a workflow expressed according to the processing sequence. Moreover, we developed a program that performed automatic conversion using the features of the causality-first decomposition trees. The proposed method was applied to materials informatics to demonstrate the systematic representation of expert knowledge and its usefullness.

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• Creative Commons BY Attribution 4.0 International
  

Keyword: functional decomposition, materials informatics, ontology, knowledge sharing

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Funding:

• MEXT ESICMM 12016013
• MEXT the Program for Pro- moting Research on the Supercomputer Fugaku (DPMSD)
• JST-Mirai Program Development of Materials Design Workflow and Data Library for Materials Foundry
• JST JPMJMI18G5
• JST JPMJMI21G2
• JSPS KAKENHI 20K05311
• JSPS KAKENHI JP19H05815
• JSPS KAKENHI 20K05068
• JSPS KAKENHI JP21H01375

Manuscript type: Not a journal article

MDR DOI: https://doi.org/10.48505/nims.3860

First published URL: https://doi.org/10.48550/arXiv.2205.00829

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Updated at: 2024-03-22 10:53:31 +0900

Published on MDR: 2023-02-08 11:09:22 +0900