This paper is concerned with aspects of complexity related to the multitude of information available today. We introduce the Self-Organizing Fractal Semantic Network, a model to handle complexity by taking into account aspects of knowledge and thinking as well as self-organization. Its basic building blocks and processes are described in detail, and Classification and Segmentation are identified as the fundamental processes for driving a self-organizing network on a local scale. An example is given to illustrate the basic concept, and further research directions are highlighted.
By: Jürgen Klenk, Gerd Binnig, Günter Schmidt
Published in: RZ3247 in 2000
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