An information extraction system for heterogeneous Web source

Information Extraction is the task of identifying information in texts and converting it into a predefined format. In this paper, we build an information integration system which focuses on the information of computer science teachers in Chinese universities. The target of the system is to automatically extract the useful information from heterogeneous sources and re-organize them into structured format. The system includes 4 main modules: web pages retrieval module, web pages´ structure classification module, information extraction module and information updating module. We have successfully applied the system to deal with 107 universities in China which shows the effect of the proposed system.