Reliability Based Web Information Ranking System

In this paper, we propose a reliability based Web information ranking system which enables searching useful and reliable knowledge information. The proposed system will contain subsystems for reliability ranking, information clustering based on reliability. The reliability ranking system will estimate the likelihood that a statement on the Web can be trusted using standards developed by information scientists, and the link structure of associated Web pages. The clustering will cluster relevant and reliable information based on whether or not they can be trusted or not. We test these models on an academic search engine and show how the reliability information ranks can be used as a useful knowledge.