Interactive volumetric information visualization for document corpus management

Abstract

This paper describes a minimally immersive threedimensional volumetric interactive information visualization system for management and analysis of document corpora. The system, SFA, uses glyph-based volume rendering, enabling more complex data relationships and information attributes to be visualized than traditional 2D and surface-based visualization systems. Two-handed interaction using three-space magnetic trackers and stereoscopic viewing are combined to produce a minimally immersive i n teractive system that enhances the user's three-dimensional perception of the information space. This new system capitalizes on the human visual system's preattentive learning capabilities to quickly analyze the displayed information. We describe the usefulness of this system for the analysis and visualization of document similarity within a corpus of textual documents.

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

“…While many tools support document corpus visualization (e.g. [18,24,4]), most present findings that are independent of the users' interests. Their focus is usually to identify the main entities (e.g.…”

“…While the FeatureLens's interface is very intuitive, it does not allow for visual exploration at different levels of detail based on a hierarchical structure of concepts. Other work such as [18,24,4] provide no mechanism for the users to incorporate a personal ontology into the visual exploration process. It is also worth noting AutoFocus, an ontology-based visualization tool which displays search results for documents on the desktop as clusters of populated concepts [3].…”

“…The insights obtained from the exploration and analysis of text collections can enable the users to understand the distribution of topics or to identify trends and linkages between different entities [18]. While many tools support document corpus visualization (e.g.…”

Evaluating text visualization for authorship analysis

“…Writing style patterns were rooted in word usage frequencies, and comparisons were drawn between authorship styles by observing the variance between top n-gram usage among different authors. Another study chose to use latent semantic indexing based on n-gram usage for authorship visualization [29]. Essentially, patterns in the relationships between terms and concepts contained in text are identified; this allows for individuals' authorship styles to be represented as an eigenvectors (i.e.…”

Managing a document-based information space

“…Furthermore, the user can provide feedback through graphical modification of the query. Shaw et al [18] describe an immersive 3D volumetric information visualization system for the management and analysis of document corpora. Based on glyph-based volume rendering, the system enables the 3D visualization of information attributes and complex relationships.…”