：关联数据集的规模不断扩大，如何使用和消费关联数据逐渐成为研究的主要问题。关联数据可视化可以直观、清晰地展示关联数据集，有较高的用户接受度。目前对关联数据可视化研究主要分布在本体可视化、关联数据可视化浏览和关联数据可视化应用三个方面。从技术原理和实现方法入手，对这三方面所涉及的工具和应用进行通用的关联数据可视化分析框架构建，可以发现：关联数据可视化研究呈阶梯状发展，从辅助性的本体可视化到关联数据的列表式和图形化浏览，进一步深入到关联数据的可视化应用；图形化浏览是关联数据可视化的发展趋势，通过简单配置就可以使用的工具将会逐渐受到青睐；在关联数据集上构建可视化Web应用以丰富的图形展示关联数据的知识，将会是未来关联数据可视化研究的重点。

The scale of linked data sets has been expanding, and how to consume and use linked data has gradually become the main issue of linked data research. Linked data visualization can display linked data intuitively and clearly and have high user acceptance. After reviewing the relevant literature and tool of linked data visualization, we summarized three aspects of linked data visualization research: ontology visualization, visualization browse of linked data and visualization application of linked data. And then, starting with the technical principle and method, a detailed review of the tools and application involved in these three aspects was made and  a visual analysis framework for linked data was designed. The results show that: （1）the research of linked data visualization is slowly in-depth, from ontology visualization to the list and graphical browse of linked data, and further into the visualization application of linked data；（2）the graphical browsing of linked data is the development trend of linked data visualization, and tools that can be used through simple configuration will gradually become popular；（3）Constructing Visual Web Applications on linked data sets to present rich knowledge of linked data will be the focus of research on the visualization of linked data in the future.