Ranking for Better Indexing in the Hidden Web

Abstract

WWW is a repository of hyperlinked data sources that contains heterogeneous data in the form of text, audio, video, and metadata. Search engines play an important role in searching information from these data sources. They offer the users an interface to retrieve the data from these resources. The search engines gather, analyze, organize, and handle the data available in these data sources and return thousands of results in the form of web pages. Often the returned web pages include a mixture of relevant and irrelevant information. To return more significant and relevant response pages, a mechanism to rank the returned pages is desirable. Page ranking algorithms play an important role in ranking web pages so that the user could get the relevant result according to the user query. The proposed technique is used to rank the hidden web pages based on the meta information of the pages downloaded by crawler and the calculated value for the chosen parameters.