Modeling the efficient access of full-text information

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Description

The title of this paper describes a research goal set by many offices within US DOE. This paper reviews efficient full-text searching techniques being developed to better understand and meet this goal. Classical computer human interaction (CHI) approaches provided by commercial information retrieval (IR) engines fail to contextualize information in ways that facilitate timely decision making. Use of advanced CHI techniques (eg, visualization) in combination with deductive database technology augment the weaknesses found in presentation capabilities of IR engines and are discussed. Various techniques employed in a Web-based prototype system currently under development are presented.

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6 p.

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Bernard, M.; Kero, R.; Korp, P.; McCusker-Whiting, M.; Tsur, S.; Dunlap, K. et al. May 1, 1996.

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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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Description

The title of this paper describes a research goal set by many offices within US DOE. This paper reviews efficient full-text searching techniques being developed to better understand and meet this goal. Classical computer human interaction (CHI) approaches provided by commercial information retrieval (IR) engines fail to contextualize information in ways that facilitate timely decision making. Use of advanced CHI techniques (eg, visualization) in combination with deductive database technology augment the weaknesses found in presentation capabilities of IR engines and are discussed. Various techniques employed in a Web-based prototype system currently under development are presented.

Physical Description

6 p.

Notes

OSTI as DE96008388

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  • 17. annual national online meeting, New York, NY (United States), 14-16 May 1996

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  • Other: DE96008388
  • Report No.: ANL/DIS/CP--89339
  • Report No.: CONF-9605124--1
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 229346
  • Archival Resource Key: ark:/67531/metadc668303

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Creation Date

  • May 1, 1996

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

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  • Dec. 15, 2015, 6:48 p.m.

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Bernard, M.; Kero, R.; Korp, P.; McCusker-Whiting, M.; Tsur, S.; Dunlap, K. et al. Modeling the efficient access of full-text information, article, May 1, 1996; Illinois. (digital.library.unt.edu/ark:/67531/metadc668303/: accessed September 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.