Enhancement of Ranking and Query Optimizer in Internet Search Engine

Abstract

The World Wide Web (WWW) allows people to share information globally. The amount of information grows without bound. In order to extract information that we are interested in, we need a tool to search the Web. The tool is called a search engine. This research aims to build a ranking system to retrieve the most relevant Web pages with the queries that are presented by the users; the ranking system depends on Web pages content and their hyperlinks’ structure. To retrieve the optimal results, the modified ranking system consists of two main subsystems. The first subsystem is Term-based Ranking subsystem that assigns a rank score to the Web pages depending on their contents by implementing TF-IDF Algorithm and Vector Spreading Activation Algorithm. And the second subsystem is Link-based Ranking subsystem that assigns a rank score to the Web pages depending on their hyperlinks by implementing an improved PageRank algorithm. Enhanced Indexing Process is considered as a main tool that supports in retrieving best results.