Knowledge Model Based on Graphical Semantic Perception

Abstract

Abstract Based on knowledge representation in product design, we propose a knowledge model of the product design process based on graphical semantic perception. The ontology semantic of the product is analyzed together with the product design process knowledge. Then the basic element model for knowledge representation of the product design process is built. With the concepts of the extension origin point basic element and extension vector thus defined, knowledge representation, consisting of growth, convergence and optimization is realized. On this basis, the model for case base clustering based on graphical semantics is built. Feasibility verification is performed with the case of appearance design of a machine tool. The highlight of the proposed method lies in the combination of the formalized and quantitative approach for product appearance design.