The Research of Intelligent System for Administrative Monitoring in Network Publishing
|Keywords||Web publishing Administrative supervision Intelligent systems|
Development of network technology to the field of journalism and communication brought about a profound revolution . The publication of several thousand years of history of the system , because the era of online media suffered unprecedented challenges. Changing face of network communication technology , network communication media vibrant, web publishing rules capitalize on the trend , people have lamented and face a new era of online publishing . Currently, worldwide , online publishing some of the basic rules are able to confirm that China is also given through legislation and practice consistently . However, both the international community or specific national entities need more than basic web publishing legal system , but also need a complete web publishing regulatory regime . In recent years, as the \In the current legal system, the government administrative departments face complex unorganized web publishing field , need to pass certain technical means , to achieve effective supervision and management of online publishing . This article will examine a set of intelligent system , the system can automatically collect, identify administrative area Xiamen mainly on the public Internet to provide online publishing sites with content related businesses , which identify and provide information about illegal publications , providing suspicious publishing website content Download preservation, illegal websites positioning and other functions, complete evidence of illegal websites for further administrative investigation conducted to provide strong technical support. In combination with Xiamen network publishing industry development status and administrative supervision of the actual needs , and explore integrated network monitoring solutions , and focus on in-depth study of the web publishing content monitoring management system. For content monitoring , early warning management, information database management, security management, and other four aspects put forward some feasible solutions , a detailed analysis on the documents, pictures , video and audio and other multimedia network resources monitoring mode. Finally , for network monitoring process involved in publishing some of the key technologies such as web crawling , pretreatment, Chinese word segmentation, full-text search , snippets , automatic classification , and video and audio analysis to demonstrate .