Efficient Methodologies to Handle Hanging Pages Using Virtual Node

In this paper we first explain the Knowledge Extraction (KE) process from World Wide Web (WWW) using Search engines. Then we explore the PageRank algorithm of Google Search engine (one of the famous link based search engine) with its hidden Markov analysis. In that we also explore one of the problems of Link based ranking algorithms called hanging pages or dangling pages (pages without any forward links). The presence of these pages affects the ranking of Web pages. Some of the hanging pages may contain important information which cannot be neglected by the search engines during ranking. We proposed methodologies to handle the hanging pages and compare the methodologies. We also introduce TrustRank algorithm (an algorithm to handle the spamming problems in link based search engines) and included it in our proposed methods so that our methods combat Web spam. We implemented PageRank algorithm and TrustRank algorithm and modified those algorithms to implement our proposed methodologies.