Fuzzy logic and the Internet (FLINT): Internet, World Wide Web, and search engines

Retrieving relevant information is a crucial component of cased-based reasoning systems for Internet applications such as search engines. The task is to use user-defined queries to retrieve useful information according to certain measures. Even though techniques exist for locating exact matches, fin...

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Bibliographic Details
Published in:Soft computing (Berlin, Germany) Germany), 2002-08, Vol.6 (5), p.287-299
Main Authors: Nikravesh, M., Loia, V., Azvine, B.
Format: Article
Language:English
Subjects:
Algorithms
Fuzzy logic
Information retrieval
Internet
Search engines
Specifications
World Wide Web
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Online Access:Get full text
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Summary:Retrieving relevant information is a crucial component of cased-based reasoning systems for Internet applications such as search engines. The task is to use user-defined queries to retrieve useful information according to certain measures. Even though techniques exist for locating exact matches, finding relevant partial matches might be a problem. It may not be also easy to specify query requests precisely and completely – resulting in a situation known as a fuzzy-querying. It is usually not a problem for small domains, but for large repositories such as World Wide Web, a request specification becomes a bottleneck. Thus, a flexible retrieval algorithm is required, allowing for imprecise or fuzzy query specification or search.
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-002-0182-x