Research of a Traffic Advisory System Based on Deep Web

Abstract

This paper presents the architecture of a traffic advisory system based on the Deep Web. It automatically generates the meaning enquiries by the mechanism of Deep Web crawler, according to the query conditions filled in by the user. Then it will automatically find and download the relevant pages. The system more intuitively and easily display the information for users based on the theoretical framework.