Web Source Evaluation and Selection by Mass Collaboration

Abstract

Web has already become the richest information resource of the world. Web sources are open, dynamic, and autonomous. Evaluating and selecting high quality Web source is a key for the success of Web-based applications. Currently, most of the web source evaluation and selection are performed by web experts. However, there are too many Web sources in any field, this process has proved to be very time consuming and costly. In this paper, we propose a novel approach which evaluates web source quality by mass collaboration. The approach shifts the enormous endeavor from the expert to the consumers and promotes web source quality to be evaluated quickly and effectively.