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
Link To Document :
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