Dmitriy Zlobin
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.
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Digital Library
- "Internet Information Server Auxiliary Processor For Dyalog APL/W. ISAP Version 5.52. Programmer's Reference", Lingo Allegro USA, Inc., 2000.Google Scholar
- Kohonen, Teuvo. Self-Organizing Maps, 2nd Ed. (Springer Series in Information Sciences, 30), 1999. Google ScholarDigital Library
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- OpenGL Architecture Review Board. "OpenGL Reference Manual: The Official Reference Document for OpenGL Release 1", Textbook Binding, 1999. Google ScholarDigital Library
- Skomorokhov, Alexander and Zlobin, Dmitriy "Self-Organizing Maps in APL" Vector, in print.Google Scholar
- Skomorokhov, Alexander and Zalivin, Alexi "Using OpenGL Graphics in Dyalog APL", Vector, Vol.15, No.l, p.34, 1998Google Scholar
- Sybex Inc. "HTML Complete", Paperback, 1999. Google ScholarDigital Library
Index Terms
- Visual representation of document-oriented information on the web
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