通过上下文知识图表将文本和可视化联系起来
概括
这项研究引入了一个半自动管道来链接文本和可视化,使数据洞察更容易获得. 该方法使用知识图和用户输入进行有效的文本可视化集成.
科学领域:
- 人与计算机的交互
- 数据可视化 数据可视化
- 自然语言处理自然语言处理.
背景情况:
- 整合文本和可视化对于数据通信至关重要,但在技术上具有挑战性.
- 现有的方法往往需要先进的编程技能,限制了可访问性.
- 有效的链接可以提高对数据洞察力的理解.
研究的目的:
- 提出一个半自动管道,用于创建文本内容和可视化之间的链接.
- 简化整合文本和视觉数据表示的过程.
- 为了实现文本可视化关系的灵活定制.
主要方法:
- 结构化可视化和数据作为一个上下文知识图.
- 提取,分组和映射文本关键词短语与视觉元素.
- 纳入用户知识,用于混合主动修订文本可视化链接.
主要成果:
- 通过交互式可视化,注释和文本图表交互来证明多功能性.
- 预先的模型测试和用户研究表明了该方法的有效性.
- 使用开发的原型系统,成功复制了先前的研究.
结论:
- 拟议的管道有效地将文本和可视化联系起来,减少技术障碍.
- 混合倡议方法允许用户驱动的定制和改进.
- 这种方法增强了创建信息和交互式数据叙述的方法.
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