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大数据时代下,知识图谱和数据可视化技术能够将数据以结构化、可视化的方式呈现,建立以关键词为中心的知识体系,展示数据间相互关系。在此基础上,设计并实现历史人物实体关系可视化系统。系统基于Nodeis平台,采用B/S架构,将繁杂数据分为人物数据和事件数据,分别采用基于标签遍历和基于链接权重的方法进行数据解析、存储至历史人物库。系统提供多种交互方式并具有良好的扩展性和维护性,以丰富直观地形式将历史人物和事件的信息可视化,帮助人们更好理解、梳理及挖掘历史人物及相关事件关系,对相关研究人员有一定的帮助和参考价值。
In the era of big data, knowledge atlas and data visualization technology can present the data in a structured and visual way, establish a knowledge system centered on keywords, and display the interrelationship between the data. On this basis, we design and realize the visual system of the relationship between historical figures and entities. Based on Nodeis platform, the system uses B / S architecture to divide complicated data into character data and event data. Data is parsed based on label traversal and link weight respectively, and stored in historical database. The system provides a variety of interactive ways and has a good scalability and maintainability to visualize the history of people and events in a rich and intuitive manner to help people better understand, sort out and mine the relationship between historical figures and related events, the relevant researchers Have some help and reference value.