A web extraction browsing scheme for time-critical specific URLs fetching

Abstract

Web browsing is the need of the hour present state of the art problem of presenting the specific result to the users. This paper works towards creating an efficient search engine that removes stop words, extract meaningful words and form clusters of highest frequency words and final stage present the result in terms of URLs. The proposed system is divided into three phases: In the first phase, pre-processing is performed by eliminating the stop words. The outcome of this phase is a reduced query. In the second phase, the extraction of meaningful words with a frequent word or similar word replacement is applied. In the last phase, meaningful URLs are fetched through location-sensitive searching and then presented within the same interface. The result is presented in term of URLs fetched and execution time it takes to fetch the results.