Abstract
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.
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Nikravesh, M., Loia, V. & Azvine, B. Fuzzy logic and the Internet (FLINT): Internet, World Wide Web, and search engines. Soft Computing 6, 287–299 (2002). https://doi.org/10.1007/s00500-002-0182-x
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DOI: https://doi.org/10.1007/s00500-002-0182-x