Powerful information visualisation

The Cluster Map Library contains information visualization technology developed at Aduna for visualizing sets of classified objects. Its main purpose is to show if and how these sets overlap, very similar in nature to Venn diagrams and Euler diagrams.

Features

• creating visualizations of collections of hierarchically classified objects
• can be used to visualize instantiated taxonomies or concept hierarchies
• suited for creating tailor-made, interactive visualizations
• for the construction of Java Swing-based user interfaces

Java class library

The Cluster Map is available as a Java class library, for integration in a Java Swing-based graphical application. This way of integration provides you with various interactive means to inspect the contents of the map. It is also possible to integrate the library in a server-based or non-graphical application by letting it export its visualization to an image or to a clickable image map that can be viewed in a web browser. Finally, a standalone Cluster Map Viewer is available that operates on XML-based data files, enabling rapid application and evaluation of the visualization.

The Cluster Map is featured prominently in Aduna AutoFocus, where it is used to display the search results of a desktop search application. The AutoFocus screenshot gallery should give you a good impression of what the Cluster Map looks like and how it is operated.

Publications

Over the years, we have published a number of papers and book articles on the Cluster Map visualization. These will be available from our site shortly. In the mean time you can find most of them on prof. Frank van Harmelen's homepage.