Analysis And Study On Supervision System Of Commerce Network Based On CWS Techologies

The openness and the growing size of the Internet makes it possible for people toexchange information freely. Meanwhile this openness gives rise to subtantialnegative effects of the Internet, such as the transmittion of superstition, pornography,violence, rebellion and other illegal or harmful information, the disclosure of intranetinformation, which has become the focus of people's attention. Based on key words orIP address filtering, the traditional filtering technology cannot solve these problemseffectively.This paper studies Chinese word segmentation (CWS) technologies, analyzes thesafety of Internet information, in accordance with the features of industry andcommerce network search, aims to find the information retrieval tool applied to illegalbusiness online.This paper discusses the present Web content search methods, basedon the Web page automatic classification, proposes an improved Chinese wordsegmentation algorithm in accordance with the characteristics of industry andcommerce administration. With eduction ambiguity as its main improvement goal,this algorithm is based on the shortest path matching method, the speed of wordsegmentation is taken into consideration as well.First, according to the filtering requirements of internet business in field ofcirculation in line with the industry and commerce administrative agencies, extract theinformation features from the collected training samples, adjust the structure of thedictionary, match the key words from search engines, add some segementation rulesto analyze and filter the text to be tested, meanwhile automatically adjusts thematching environment according to the length word segmentation. Through thepreliminary test of the web-page from the website by the system, the proposedalgorithm in this paper can best realize the search interface function of the bad websand achieve good results in terms of the security filtering of certain information.