Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
Graph drawing by force-directed placement
Software—Practice & Experience
Intelligent multimedia presentation systems: research and principles
Intelligent multimedia interfaces
An Editor's Workbench for an art history reference work
ECHT '94 Proceedings of the 1994 ACM European conference on Hypermedia technology
Discrete Mathematical Structures with Applications to Computer Science
Discrete Mathematical Structures with Applications to Computer Science
Towards a generative theory of diagram design
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
Applying Visualization Research Towards Design
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Towards a generative theory of diagram design
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
Web-Based Monitoring and Visualization of Self-Organizing Process Control Agents
IWSOS '08 Proceedings of the 3rd International Workshop on Self-Organizing Systems
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Diagrams are data representations that convey information predominantly through combinations of graphical elements rather than through other channels such as text or interaction. We have implemented a prototype called AVE (Automatic Visualization Environment) that generates diagrams automatically based on a generative theory of diagram design. According to this theory, diagrams are constructed based on the data to be visualized rather than by selection from a predefined set of diagrams. This approach can be applied to knowledge represented by semantic networks. In this paper we give a brief introduction to the underlying theory, then describe the implementation and finally discuss strategies for extending the algorithm.