The visual analysis of textual information: Browsing large document sets

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Description

Visualization tools have been invaluable in the process of scientific discovery by providing researchers with insights gained through graphical tools and techniques. At PNL, the Multidimensional Visualization and Advanced Browsing (MVAB) project is extending visualization technology to the problems of intelligence analysis of textual documents by creating spatial representations of textual information. By representing an entire corpus of documents as points in a coordinate space of two or more dimensions, the tools developed by the MVAB team give the analyst the ability to quickly browse the entire document base and determine relationships among documents and publication patterns not readily discernible ... continued below

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9 p.

Creation Information

Thomas, J.; Pennock, K.; Fiegel, T.; Wise, J.; Pottier, M.; Schur, A. et al. May 1, 1995.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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  • Pacific Northwest Laboratory
    Publisher Info: Pacific Northwest Lab., Richland, WA (United States)
    Place of Publication: Richland, Washington

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Description

Visualization tools have been invaluable in the process of scientific discovery by providing researchers with insights gained through graphical tools and techniques. At PNL, the Multidimensional Visualization and Advanced Browsing (MVAB) project is extending visualization technology to the problems of intelligence analysis of textual documents by creating spatial representations of textual information. By representing an entire corpus of documents as points in a coordinate space of two or more dimensions, the tools developed by the MVAB team give the analyst the ability to quickly browse the entire document base and determine relationships among documents and publication patterns not readily discernible through traditional lexical means.

Physical Description

9 p.

Notes

OSTI as DE95011488

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  • DL `95 conference, Washington, DC (United States), 15-19 May 1995

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  • Other: DE95011488
  • Report No.: PNL-SA--25720
  • Report No.: CONF-9505210--1
  • Grant Number: AC06-76RL01830
  • Office of Scientific & Technical Information Report Number: 71681
  • Archival Resource Key: ark:/67531/metadc709217

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Creation Date

  • May 1, 1995

Added to The UNT Digital Library

  • Sept. 12, 2015, 6:31 a.m.

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  • April 7, 2016, 3:21 p.m.

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Thomas, J.; Pennock, K.; Fiegel, T.; Wise, J.; Pottier, M.; Schur, A. et al. The visual analysis of textual information: Browsing large document sets, article, May 1, 1995; Richland, Washington. (digital.library.unt.edu/ark:/67531/metadc709217/: accessed August 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.