Key points are not available for this paper at this time.
Abstract Market demands for diversified and personalized customer needs drive the need for continuous high-speed iteration of products. Among them, product conceptual design is the core process for meeting consumer needs and expectations. However, in the product conceptual design stage, data is scattered across three-dimensional models, natural language texts, images, and other files, presenting significant characteristics of fragmented distribution, redundancy, and multimodality, which leads to the problem of insufficient and outdated knowledge for designers. To effectively improve designers' personal proficiency and abilities and break the knowledge isolation phenomenon, we constructed a top-down hierarchical structure of the product conceptual design domain knowledge model, achieving the formal expression of knowledge in the product conceptual design stage. Firstly, a top-down product design domain knowledge graph (DDKG) construction process from the design feature analysis, relationship extraction to the concept definition was proposed, the hierarchical ontology was constructed. Secondly, using techniques such as data analysis, knowledge extraction, and semantic similarity calculation, the automatic instantiation of the graph was realized and the DDKG was constructed. The DDKG provides three application modes: domain knowledge search, knowledge recommendation, and exploratory analysis. Finally, the proposed top-down hierarchical DDKG construction method was applied and verified in the high-end integrated home furnishing enterprise product conceptual design. We formed a unified core concept and terminology for the home furnishing conceptual design domain and constructed a knowledge service model, providing support for the intelligent transformation of the high-end integrated home furnishing design field.
Li et al. (Wed,) studied this question.