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.

该研究提出了一种基于因果优先视角的功能分解表示方法来解决初学者构建功能分解树遇到的问题，并开发了一种程序，自动转换因果优先分解树的特征，以展示材料信息学中专家知识的系统表示及其有用性。