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Content-based text mapping using multi-dimensional projections for exploration of document collections

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Author(s):
Minghim, Rosane ; Paulovich, Fernando Vieira ; Andrade Lopes, Alneu de ; Erbacher, RF ; Roberts, JC ; Grohn, MT ; Borner, K
Total Authors: 7
Document type: Journal article
Source: MEDICAL IMAGING 2007: PACS AND IMAGING INFORMATICS; v. 6060, p. 12-pg., 2006-01-01.
Abstract

This paper presents a technique for generation of maps of documents targeted at placing similar documents in the same neighborhood. As a result. besides being able to group (and separate) documents by their contents. it runs at very manageable computational costs. Based oil multi-dimensional projection techniques and;ill algorithm for projection improvement. it results in a surface map that allows the user to identify a number of important relationships between documents and sub-groups of documents via Visualization and interaction. Visual attributes such as height. color. isolines and glyphs its well as aural attributes (such as pitch), help add dimensions for integrated visual analysis. Exploration and narrowing of focus can be performed using a set of tools provided. This novel text mapping technique, named IDMAP (Interactive Document Map), is fully described in this paper. Results are compared with dimensionality reduction and cluster techniques for the same purposes. The maps are hound to support a large number of applications that rely oil retrieval and examination of document collections and to complement the type of information offered by current knowledge domain visualizations. (AU)

FAPESP's process: 04/09888-5 - InfoVis2: a repository of visual mining and information visualization and sonification techniques
Grantee:Rosane Minghim
Support Opportunities: Regular Research Grants