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As interdisciplinary science is flourishing because of materials informaticsand additional factors; a systematic way is required for expressing knowledgeand facilitating communication between scientists in various fields. A functiondecomposition tree is such a representation, but domain scientists facedifficulty in constructing it. Thus, this study cites the general problemsencountered by beginners in generating function decomposition trees andproposes a new function decomposition representation method based on acausality-first perspective for resolution of these problems. Thecausality-first decomposition tree was obtained from a workflow expressedaccording to the processing sequence. Moreover, we developed a program thatperformed automatic conversion using the features of the causality-firstdecomposition trees. The proposed method was applied to materials informaticsto demonstrate the systematic representation of expert knowledge and itsusefullness.

Function Decomposition Tree with Causality-First Perspective and Systematic Description of Problems in Materials Informatics