Web-based data sources, particularly in Life Sciences, grow in diversity and volume. Most of the data collections are equipped with common document search, hyperlink and retrieval utilities. However, users' wishes often exceed simple document-oriented inquiries. With respect to complex scientific issues it becomes imperative to aid knowledge gain from huge interdependent and thus hard to comprehend data collections more efficiently. Especially data categories that constitute relationships between two each or more items require potent set-oriented content management, visualization and navigation utilities. Moreover, strategies are needed to discover correlations within and between data sets of independent origin. Wherever data sets possess intrinsic graph structure (e.g. of tree, forest or network type) or can be transposed into such, graphical support is considered indispensable. The Viator tool family presented during this demo depicts large graphs on the whole in a hyperbolic g...