Novel Ranking Approach using Pattern Recognition for Ontology in Semantic Search Engine

Abstract

As we know, World Wide Web (WWW) has been developing and it’s performance growth is increasing since last few years. So, it requires the need of fast and precise method to reach the information. Ranking is playing an important role to achieve the goal of receiving relevant information. Search Engines have an important component as ranking. It helps user to retrieve the pages that relates to his/her query. Semantic Web (SW) is the extension of WWW. It is a great technology, which helps search engines to retrieve most relevant pages. So, the concept of SW approach is satisfied, only if the results of retrieval are extremely related to user query. Than only, we can consider that due to best ranking schemes user expectations are increasing. Because by accurate result as per the query the scope of knowledge searching increases and make user to view the relevant need for query on top most.