| 吕月米,周雨.基于多模态理论的大数据可视化的优化与拓展[J].包装工程,2019,40(24):251-259. |
| 基于多模态理论的大数据可视化的优化与拓展 |
| Optimization and Expansion of Big Data Visualization Based on Multimodal Theory |
| 投稿时间：2019-08-19 修订日期：2019-12-20 |
| DOI：10.19554/j.cnki.1001-3563.2019.24.040 |
| 中文关键词: 大数据 大数据可视化 多模态理论 交互展示 创新趋势 |
| 英文关键词: big data big data visualization multi-modal theory interactive exhibition innovation trend |
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| 中文摘要: |
| 目的 在机遇和挑战并存的语境下，提出大数据可视化的优化途径与创新拓展思路。方法 首先，从多模态概念入手，从多学科角度理解多模态含义；其次，分析了大数据多模态特征，以及人们获取和解读信息时多模态融合的认知过程；最后，把多模态概念引入展示法，探讨可视化中多模态的内容呈现方式，以及结合高新科技的动态交互方式。在大数据环境下模态融合、传播载体发展和信息符号象征意义的解析等方面，展开对大数据可视化创新路径的论述。结论 对大数据可视化在未来发展的趋势，提出了展现和探索两个方向。 |
| 英文摘要: |
| The work aims to propose the optimization approach and innovative expansion ideas of big data visualization under the opportunity and challenge. Firstly, the multi-modal concept was introduced to understand the multi-modal meaning from a multi-disciplinary perspective; secondly, the multi-modal characteristics of big data and the cognitive process of multi-modal fusion for obtaining and interpreting information were analyzed; then, the multi-modal concept was introduced into the presentation method to explore the multi-modal content presentation in visualization and the dynamic interaction mode integrated with high-tech. The innovative path of big data visualization was discussed on the basis of analyzing the modal fusion under the big data environment, the development of communication carriers and the symbolic meaning of information symbols, etc. Two directions, i.e. exhibition and exploration are proposed for the future development trend of big data visualization. |
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