Abstract
World Wide Web search engines have become the most heavily-used online services, with millions of searches performed each day. Their popularity is due, in part, to their ease of use. The central tasks for the most of the search engines can be summarize as 1) query or user information request- do what I mean and not what I say!, 2) model for the Internet, Web representation-web page collection, documents, text, images, music, etc, and 3) ranking or matching functiondegree of relevance, recall, precision, similarity, etc. 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.KeywordsFuzzy LogicSearch EngineUser ProfileWorld KnowledgeConceptual GraphThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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