Modeling the efficient access of full-text information [electronic resource]

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...

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Bibliographic Details
Online Access: Online Access
Corporate Author: Argonne National Laboratory (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Dept. of Energy ; distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1996.
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Summary: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.
Item Description:Published through the Information Bridge: DOE Scientific and Technical Information.
05/01/1996.
"ANL/DIS/CP--89339"
"CONF-9605124--1"
"DE96008388"
17. annual national online meeting, New York, NY (United States), 14-16 May 1996.
Johnson, L.; Bernard, M.; Korp, P.; Kero, R.; McCusker-Whiting, M.; Dunlap, K.; Tsur, S.
Physical Description:6 p.