| 摘要: |
| 目的 构建鄂伦春传统服饰文化知识图谱并对其进行可视化设计。方法 通过知识可视化所包含的知识层、结构层、视觉层和用户层要素而展开设计。首先，通过文献研究法挖掘鄂伦春传统服饰文化知识要素，构建其知识层;其次，利用结构方程模型对鄂伦春传统服饰文化知识要素进行知识图谱绘制，构建其结构层;再次，对知识图谱中的形态、色彩、纹样、文化内涵进行设计因子提取，构建其视觉层;最后，利用层次分析法对可视化设计因子进行决策，构建其用户层。结论 将知识图谱的“相似匹配、回归聚类”与设计思维的“用户中心、迭代创新”优势互补，可解决传统文化创造性转化中“用不对、看不懂、接受弱、体验差”的窘境。 |
| 关键词: 鄂伦春传统服饰 知识图谱 可视化设计 用户研究 |
| DOI：10.19554/j.cnki.1001-3563.2022.22.051 |
| 分类号:TB472 |
| 基金项目:中央引导地方科技发展专项资金计划项目“蒙古族传统服饰纹样数据平台及产品转化应用”;内蒙古科技计划关键技术攻关项目(2021GG0184);内蒙古师范大学基本科研业务费项目(2022JBXC023);内蒙古师范大学研究生科研基金项目(CXJJS22087) |
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| Visual Design of Oroqen Traditional Costume Culture Knowledge Map |
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HAN Hai-yan1,2, AYA La-Gu1
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(1.Inner Mongolia Normal University, Hohhot 010020, China;2.Design and Social Innovation Key Research Base of Humanities and Social Sciences in Inner Mongolia Universities, Hohhot 010020, China)
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| Abstract: |
| This paper aims to construct and visualize the knowledge map of Oroqen traditional clothing culture. The design is carried out through elements contained in the knowledge visualization, such as the knowledge layer, structure layer, visual layer and user layer. Firstly, the knowledge elements of Oroqen traditional costume culture are excavated through literature research to build its knowledge layer. Secondly, using structural equation model to draw the knowledge atlas of knowledge elements of Oroqen traditional clothing culture, and construct its structural layer. Thirdly, extract design factors from the shape, color, pattern and cultural connotation in the knowledge map to build its visual layer. Finally, the hierarchical analysis method is used to make decisions on the visualization factors and build its user layer. Complementing the advantages of similarity matching and regression clustering of the knowledge map with the advantages of user centered and iterative innovation of design thinking can solve the dilemma of incorrect use, incomprehensibility, weak acceptance and poor experience in the creative transformation of traditional culture. |
| Key words: Oroqen traditional clothing knowledge map visual design user research |
