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1995 IEEE Symposium on Information Visualization (InfoVis '95)
Towards a generative theory of diagram design
Atlanta, Georgia, USA
October 30-October 31
ISBN: 0-8186-7201-3
K. Reichenberger, GMD-Inst. for Integrated Publication & Inf. Sci., Darmstadt, Germany
T. Kamps, GMD-Inst. for Integrated Publication & Inf. Sci., Darmstadt, Germany
G. Golovchinsky, GMD-Inst. for Integrated Publication & Inf. Sci., Darmstadt, Germany
We describe the theoretical background for AVE, an automatic visualization engine for semantic networks. We have a functional notion of aesthetics and therefore understand meaningfulness as a central issue for information visualization. This implies that the diagrams should communicate the characteristics of the data as effectively as possible. In this generative theory of diagram design, we include data characterization, systematic use of graphical means of expression and the combination of graphical means of expression. After giving a brief introduction and an application scenario we discuss these aspects in detail. Finally, a process model of an automatic visualization process is sketched and directions for further research are outlined.
Index Terms:
semantic networks; diagrams; data visualisation; CAD; diagram design; AVE; automatic visualization engine; semantic networks; aesthetics; information visualization; data characterization; process model; automatic visualization process
Citation:
K. Reichenberger, T. Kamps, G. Golovchinsky, "Towards a generative theory of diagram design," ieee_infovis, pp.11, 1995 IEEE Symposium on Information Visualization (InfoVis '95), 1995
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