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Ding Ning, Yu Suihuai, Chu Jianjie, Chen Chen, and Liu Huajing. Construction and Application of National Pattern Semantic Quantification Model for Product Design[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(4): 621-632. DOI: 10.3724/SP.J.1089.2023.19408
Citation: Ding Ning, Yu Suihuai, Chu Jianjie, Chen Chen, and Liu Huajing. Construction and Application of National Pattern Semantic Quantification Model for Product Design[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(4): 621-632. DOI: 10.3724/SP.J.1089.2023.19408

Construction and Application of National Pattern Semantic Quantification Model for Product Design

  • In order to improve the consistency between traditional ethnic pattern knowledge and modern design, and to solve the problems of low relevance of traditional knowledge and low efficiency of knowledge utilization in existing design, a semantic quantification model construction method of ethnic patterns for product design is proposed. The method takes Miao batik patterns as the research object, divides the pattern semantics into six dimensions, parses and encodes the pattern semantics by integrating expert knowledge, and then constructs a semantic quantified model and formulates a two-stage modeling process. In the first stage, we use the parsed and downscaled pattern semantic data to cluster and reorganize the patterns, and construct the semantic clusters to characterize the representative semantic elements of each semantic cluster. In the second stage, the semantic relevance of each dimension is calculated and the association degree of each semantic element of each semantic cluster is explored. The user requirements are matched with the quantitative model, and the matching results are used to guide the design practice and form design solutions. The results show that the method can be used to guide the design practice as the analytic knowledge, which can improve the fit between the semantics of ethnic patterns and user needs as well as the design of modern ethnic products.
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