DocumentCode :
3011093
Title :
Web intelligence: conceptual search engine and navigation
Author :
Nikravesh, M.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fYear :
2003
fDate :
21-24 Aug. 2003
Firstpage :
390
Lastpage :
395
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.
Keywords :
Internet; competitive intelligence; decision support systems; fuzzy logic; information retrieval; query processing; search engines; Web intelligence; Web navigation; intelligent search engine; query-relevant information; Context modeling; Fuzzy sets; Indexing; Information retrieval; Internet; Logic; Navigation; Ontologies; Search engines; Telephony;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Informatics, 2003. INDIN 2003. Proceedings. IEEE International Conference on
Print_ISBN :
0-7803-8200-5
Type :
conf
DOI :
10.1109/INDIN.2003.1300364
Filename :
1300364
Link To Document :
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