Designing a Hybrid Page Ranking Algorithm for Semantic Web Search Engine
Sharmila Subudhi
Sharmila Subudhi, Lecturer, Dept. of CSE,IT,MCA, Gandhi Institute For Technology, Bhubaneswar, Odisha, India.
Manuscript received on September 24, 2013. | Revised Manuscript received on October 10, 2013. | Manuscript published on October 30, 2013. | PP: 45-48 | Volume-3, Issue-1, October 2013. | Retrieval Number: A2143103113/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Web is the most important tool in now-a-days upon which people rely on to search their required information. In such a scenario it is the duty of service provider to provide proper, relevant and quality information to the internet where user can submit their query and find out the result. But it is a challenge for service provider to provide proper, relevant and quality information to the internet user by using the web page contents and hyperlink between the web pages. The next generation Web architecture, represented by the Semantic Web, provides the layered architecture possibly allowing overcoming this limitation. Several search engines have been proposed, which allow increase in information retrieval accuracy by exploiting keywords and their relations. This paper deals with a hybrid approach of page ranking algorithm which simply based on the prediction and calculation of different numbers of back-links to a web page.
Keywords: Semantic web, Page rank, HITS, Search engine, Back-link predictor.