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Data, Information, and Knowledge in Visualization
January/February 2009 (vol. 29 no. 1) pp. 12-19
Hans Hagen, Technical University of Kaiserslautern
This article proposes to help advance visualization technology from the interactive visualization of today to the knowledge-assisted visualization of tomorrow by defining data, information and knowledge in the context of visualization. 1. G.S. Owen et al., "Definitions and Rationale for Visualization," Apr. 2008; www.siggraph.org/education/materials/HyperVis/ visgoalsvisgoal2.htm. 2. U. Fayyad, G.G. Grinstein, and A. Wierse, Information Visualization in Data Mining and Knowledge Discovery, Morgan Kaufmann, 2002. 3. K. Lehrer, Theory of Knowledge, Westview, 1990. 4. E.H. Chi, "A Taxonomy of Visualization Techniques Using the Data State Reference Model," Proc. IEEE Symp. Information Visualization, IEEE Press, 2000, pp. 69–75. 5. B. Shneiderman, "The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations," Proc. IEEE Symp. Visual Languages, IEEE Press, 1996, pp. 336–343. 6. M. Tory and T. Möller, "Rethinking Visualization: A High-level Taxonomy," Proc. IEEE Symp. Information Visualization, IEEE Press, 2004, pp. 151–158. 7. R.L. Ackoff, "From Data to Wisdom," J. Applied Systems Analysis, vol. 16, 1989, pp. 3–9. 8. N. Sharma, "The Origin of the 'data Information Knowledge Wisdom' Hierarchy," Apr. 2008; www-personal.si.umich.edu/~nsharmadikw_origin.htm . 9. E.E. Smith and S.M. Kosslyn, Cognitive Psychology: Mind and Brain, Pearson Prentice-Hall, 2007.
Index Terms:
data, information, knowledge, information-assisted visualization, and knowledge-assisted visualization
Citation:
Min Chen, David Ebert, Hans Hagen, Robert S. Laramee, Robert van Liere, Kwan-Liu Ma, William Ribarsky, Gerik Scheuermann, Deborah Silver, "Data, Information, and Knowledge in Visualization," IEEE Computer Graphics and Applications, vol. 29, no. 1, pp. 12-19, Jan./Feb. 2009, doi:10.1109/MCG.2009.6 Usage of this product signifies your acceptance of the Terms of Use.
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