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Proceedings Paper

Linked visual analysis of structured datasets and document collections
Author(s): Sebastin Kolman; Ekaterina Galkina; Andrew S. Dufilie; Yen Fu Luo; Vivek Gupta; Georges Grinstein
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Paper Abstract

Analysts use visual analytical systems for exploring and analyzing structured datasets and increasingly require tools to access supporting documents, research papers and news reports. Visual analytical systems for text cor- pora typically concentrate on techniques for exploring only document collections. We have developed a system for visualizing and analyzing both document collections and structured datasets. We describe a document visu- alization tool called InfoMaps developed by us within Weave, an open source framework for data exploration and analysis. Users of Weave analyzing datasets can search for documents from the web and networked repositories, and can use the matched documents as a part of their analysis. Conversely documents in InfoMaps can be used to identify relevant data subsets. In this paper, we discuss InfoMaps, its use and integration with other visual tools of Weave and our approach to the information extraction and integration process.

Paper Details

Date Published: 3 February 2014
PDF: 14 pages
Proc. SPIE 9017, Visualization and Data Analysis 2014, 901707 (3 February 2014); doi: 10.1117/12.2036768
Show Author Affiliations
Sebastin Kolman, Univ. of Massachusetts Lowell (United States)
Ekaterina Galkina, Univ. of Massachusetts Lowell (United States)
Andrew S. Dufilie, Univ. of Massachusetts Lowell (United States)
Yen Fu Luo, Univ. of Massachusetts Lowell (United States)
Vivek Gupta, Univ. of Massachusetts Lowell (United States)
Georges Grinstein, Univ. of Massachusetts Lowell (United States)


Published in SPIE Proceedings Vol. 9017:
Visualization and Data Analysis 2014
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen, Editor(s)

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