Research on the influencing factors of creation model of knowledge graphs for design under the perspective of graph workflow
Yuxuan Fang, Xiaochen Hu, Shangyin Chen · 2024
Based on the analysis of SAPAD-AHP model, this study explores the influencing factors of graph structure in the construction of knowledge graph creation platform, and through the construction of the collaborative platform, the study is carried out in teaching and research practice. With the development of the interdisciplinary system and the establishment of many emerging disciplines, design as the intersection of science, engineering and liberal arts combined, its information grooming and knowledge production mode has also undergone an important transformation, and the processing capacity in the face of a variety of information intersection has greatly stimulated the demand for the construction of personal knowledge bases and knowledge graphs. The current solutions relying on tree structure and linear structure have considerable limitations. In this paper, we analyze the mapping of "Behavior-Product-Meaning" of the existing solutions through SAPAD method, and obtain the user's needs through cluster analysis, and filter the multi-layer core meaning clusters by calculating the weight of the general meaning clusters through the AHP method, so as to obtain the user's core needs. Based on the results of the requirements study, the study proposes a design scheme for personal knowledge graph construction based on graph structure, which for the first time connects graph structure and text content in tandem at the interaction aspect, integrates and simplifies the workflow, and examines its information combing and image editing capabilities in teaching and research practice, providing a valuable reference for the design of knowledge graph solutions for the design category.