Data, Information, and Knowledge in Visualization 论文

2009IEEE Computer Graphics and Applications引用 291
Data Visualization and AnalyticsAdvanced Text Analysis TechniquesData Analysis with R

详细信息

发表期刊/会议
IEEE Computer Graphics and Applications
发表日期
2009-01-01
发表年份
2009

关键词

Data Visualization and AnalyticsAdvanced Text Analysis TechniquesData Analysis with R

摘要

In visualization, we use the terms data, information and knowledge extensively, often in an interrelated context. In many cases, they indicate different levels of abstraction, understanding, or truthfulness. For example, "visualization is concerned with exploring data and information," "the primary objective in data visualization is to gain insight into an information space," and "information visualization" is for "data mining and knowledge discovery." In other cases, these three terms indicate data types, for instance, as adjectives in noun phrases, such as data visualization, information visualization, and knowledge visualization. These examples suggest that data, information, and knowledge could serve as both the input and output of a visualization process, raising questions about their exact role in visualization.

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