论文标题
功能分解树具有因果关系优先的观点和系统描述材料信息学中问题
Function Decomposition Tree with Causality-First Perspective and Systematic Description of Problems in Materials Informatics
论文作者
论文摘要
由于材料信息学和其他因素，跨学科科学正在蓬勃发展；表达知识并促进各个领域的科学家之间的沟通需要一种系统的方式。功能分解树是这样的表示，但是领域科学家在构建它方面面临困难。因此，本研究引用了初学者在生成功能分解树时遇到的一般问题，并提出了一种基于因果关系 - 第一观点来解决这些问题的新功能分解表示方法。因果关系第一分解树是从根据处理序列表达的工作流程获得的。此外，我们开发了一个程序，该程序使用因果关系 - 第一个分解树的功能进行自动转换。提出的方法应用于材料信息学，以证明专家知识及其有用性的系统表示。
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.
