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Visual representation of document-oriented information on the web

Published: 01 June 2000 Publication History

Abstract

Ever increasing volumes of data motivate us to find new processing and storage methods for provide quick retrieval of information. Users of conventional text-based search engines have faced the problem of digging through thousands of hits returned from keyword searches. There are alternative ways of storing and searching document-related data; these techniques support more direct and simplified document searches guiding the user towards fewer but higher quality selections.One such method is known as WebSOM, Web Self-Organizing Maps, which are based on Kohonen's neural network approach and modern graphical user interfaces. We will show, through the use of APL with this and other methods of information analysis, how to visualize this type of search.

References

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"Internet Information Server Auxiliary Processor For Dyalog APL/W. ISAP Version 5.52. Programmer's Reference", Lingo Allegro USA, Inc., 2000.
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Kohonen, Teuvo. Self-Organizing Maps, 2nd Ed. (Springer Series in Information Sciences, 30), 1999.
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Neider, Jackie et al. "OpenGL Programming Guide: The Official Guide to Learning OpenGL, Release 1", 1999.
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OpenGL Architecture Review Board. "OpenGL Reference Manual: The Official Reference Document for OpenGL Release 1", Textbook Binding, 1999.
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Skomorokhov, Alexander and Zlobin, Dmitriy "Self-Organizing Maps in APL" Vector, in print.
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Published In

cover image ACM SIGAPL APL Quote Quad
ACM SIGAPL APL Quote Quad  Volume 30, Issue 4
June 2000
253 pages
ISSN:0163-6006
DOI:10.1145/570440
Issue’s Table of Contents
  • cover image ACM Conferences
    APL '00: Proceedings of the international conference on APL-Berlin-2000 conference
    July 2000
    258 pages
    ISBN:1581131828
    DOI:10.1145/570475

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2000
Published in SIGAPL Volume 30, Issue 4

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