Web page ranking using domain based knowledge

In this paper, a new ranking technique is introduced to rank Web pages categorically. Web pages are categorized as `Primary´ and `Secondary´. It is considered that available Web page URLs are resided in a predefined database. `Primary´ Web pages are selected based on the keywords. These Web pages are ranked by a newly introduced equation. It is evident that all matched Web pages are not selected by this keyword selection procedure. Hence, unmatched Web pages are checked and named as `Secondary´ Web pages. These Web pages are ranked by another new equation. Ranking procedure of `Primary´ and `Secondary´ Web pages is different based on the different selection process. Final outcome is obtained by merging and ranking all matched Web pages. Wide number of Web pages having matched contents is obtained by implementing this proposed procedure.