A scalable framework for information visualization

This paper describe major concepts of a scalable information visualization framework. We assume that the exploration of heterogenous information spaces at arbitrary levels of details requires a suitable preprocessing of information quantities, the combination of different graphical interfaces and the illustration of the frame of reference of given information sets. The innovative features of our system include dynamic hierarchy computations and user controlled refinement of those hierarchies Sor preprocessing unstructured information spaces, a new, Focus+Context technique for visualizing complex hierarchy graphs, a new, paradigm for visualizing information structures within their frame of reference and a new graphical interface that utilizes textual similarities to arrange objects of high dimensional information space in 3-dimensional visualization space.