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Research Article Open Access
Web Content mining is defined as extraction of required data from distributed databases. Today we are using search engine for extracting the required information on the basis of requirement of user. But search engines that we are using not always provide the actual required information that the user actually want in a first attempt. So we can say that current search engine techniques provide the approximate output to the user. In this paper, we proposed a query classification technique by which we can improve the user query to make it more small, simple and more understandable. Such improved query will take a small fraction of time to execute over server and provide only the more actual required information to the user. Also we try to improve the pre-existing search engine algorithms to optimize the search result.
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Author(s): Rohit Agarwal, Rajesh Singh
Web mining, Optimized Search, Query, Classification., Agent-Based Middleware,Artificial Intelligence Pattern/Image Recognition,Autonomic and Context Aware Computing