Tight Coupling of Personal Interests with Multi-dimensional Visualization for Exploration and Analysis of Text Collections

In this paper, we present an interactive matrix-based multi-dimensional visualization component which enables the users to explore a text collection along different conceptual dimensions. Of importance in our approach are the tight coupling of the users' personal ontologies representing their spheres of interest with the visualization component and the application of barycenter heuristic for edge crossing minimization to enhance its visual display. We also discuss how IVEA, the information visualization tool containing the proposed component, can address the commonly perceived constraints of building a personal ontology from scratch for IVEA to work.