Accessing Relevant and Accurate Information using Entropy

Keyword based search engine generally provides result set with a large number of web pages, mostly irrelevant. The world wide web is a large collection of web/hypertext document, so effort is required to provide relevant data for a given set of query with less response time. This paper implements the semantic-synaptic web mining algorithm, and compares the result with other existing algorithm. The algorithm focuses on use of entropy for finding accurate results for any given query.