A Information Extraction Technology Based Knowledge Searching System

With the widespread and development of the Internet, the access to information hasbeen broaded unprecedentedly. This trend is more and more clear when3G/LTE networksand mobile devices entered people‘s everyday life. Powered by mobile applications likeWeibo and Wechat, the Internet has revolutionized to a platform of self-media and real-timeinformation. This explosion of information brings a major challenge to the way we acquirethe message.Currently, the knowledge and information have exceeded the processing and utilizingcapability of people. This phenomenon manifest as that the recipients of the informationhave a much lower processing capability than the speed of the information transmission, andthe amount of information in the mass media is much more higher than what the commonpeople can handle. Therefore, the noise in the information has severely interfered therecipients to utilize it.Search engines like Google have brought great convenience to us for searchinginformation we need. However, search engine only supplies the solution of searching thewebsites, it cannot meet the challenges introduced by information overload. Therefore, thetechnology which can vender the information other than the list of possible websites directlyto the user is a hot topic for the research of next generation search engine.In this article, we propose a knowledge search engine based on information extractiontechnology and sentiment analysis. We hope we can offer some new avenues to sort andacquire the knowledge and information on the Internet, and further on, we hope the systemcan provide a prototype of how the knowledge searching works.