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Author Nikravesh, M.
Sponsorship IEEE ♦ ISC ♦ iCore ♦ Phoenix Contact ♦ Schneider Electric ♦ Univ. of Virginia ♦ Rockwell Automation ♦ Univ. of Calgary ♦ Univ. of Duisburg-Essen
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2003
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Fuzzy sets ♦ Navigation ♦ Search engines ♦ Ontologies ♦ Telephony ♦ Information retrieval ♦ Internet ♦ Logic ♦ Context modeling ♦ Indexing
Abstract Design of any new intelligent search engine should be at least based on two main motivations. 1) The Web environment is, for the most part, unstructured and imprecise. To deal with information in the Web environment what is needed is a logic that supports modes of reasoning which are approximate rather than exact. While searches may retrieve thousands of hits, finding decision-relevant and query-relevant information in an imprecise environment is a challenging problem, which has to be addressed and 2) another, and less obvious, is deduction in an unstructured and imprecise environment given the huge stream of complex information.
Description Author affiliation: Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA (Nikravesh, M.)
ISBN 0780382005
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2003-08-21
Publisher Place Canada
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 817.32 kB
Page Count 6
Starting Page 390
Ending Page 395

Source: IEEE Xplore Digital Library