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【目的】对可视分析学的最新进展做全面梳理,探讨其在图书情报学领域的深入应用,以期为后续研究提供参考。【方法】研究比较可视分析学的若干特点,基于VAST会议近5年的论文,从意义构建及合作、文本分析、高维数据可视分析、空间时间分析和应用实例5个方面进行梳理总结。【结果】阐明可视分析学的根本原理和跨学科属性,发现主要从开发新算法、改进现有模型和变换研究角度等方面拓展可视分析学研究。【结论】可视分析学目前围绕意义构建基础算法和设计原则,重点突破文本分析、高维数据和空间时间数据,探索全面应用,是高度面向应用的学科,且应用面非常广泛,虽然还处在发展期,但能为信息服务尤其是智能服务提供方法论支持。
【Objective】 To comprehensively review the latest progress of visual analysis and discuss its in-depth application in the field of library and information science in order to provide references for further research. [Methods] To compare and contrast some characteristics of visual analysis, based on the papers of the VAST conference in the past five years, summarize them from the following five aspects: construction of meaning and cooperation, text analysis, visual analysis of high dimension data, space time analysis and application examples . [Results] The basic principles and interdisciplinary attributes of visual analysis were elucidated. It was found that visual analysis research was expanded mainly from the aspects of developing new algorithms, improving existing models and transforming studies. 【Conclusion】 At present, visual analysis focuses on constructing basic algorithms and design principles around meaning, and focuses on breaking through textual analysis, high-dimensional data and space-time data and exploring comprehensive applications. It is a highly application-oriented subject with a very wide range of applications, In the development phase, it can provide methodological support for information services, especially intelligent services.