DocumentCode
1056567
Title
Data, Information, and Knowledge in Visualization
Author
Chen, Min ; Ebert, David ; Hagen, Hans ; Laramee, Robert S. ; Van Liere, Robert ; Ma, Kwan-Liu ; Ribarsky, William ; Scheuermann, Gerik ; Silver, Deborah
Volume
29
Issue
1
fYear
2009
Firstpage
12
Lastpage
19
Abstract
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.
Keywords
data mining; data visualisation; data mining; data visualization; information visualization; knowledge discovery; knowledge visualization; Computer science; Data engineering; Data visualization; Humans; Information management; Knowledge engineering; Psychology; Silver; Space technology; Taxonomy; and knowledge-assisted visualization; data; information; information-assisted visualization; knowledge;
fLanguage
English
Journal_Title
Computer Graphics and Applications, IEEE
Publisher
ieee
ISSN
0272-1716
Type
jour
DOI
10.1109/MCG.2009.6
Filename
4736452
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