The Content Filtering Of Chinese Information In The Internet Web

The main contents of this paper are to filter Chinese information in the network. Firstly, I researched some classic algorithms in the field of Pattern Matching including the process of the algorithm, the idea of the matching and the performance of time and space. After the analysis of English context, I find that the frequency of letter using in English is so average that the classic algorithms could have a good performance. However, after the analysis of Chinese context, there is a great difference between the two languages. It is that the frequency of letter using in Chinese is not average, so we cannot transplant those classic algorithms into Chinese context. This paper has taken the full use of this characteristic and then makes some improvement on those classic algorithms. I adjusted the comparative order in matching According to the frequency of Chinese characters using, then the efficiency has improved. The improvement has been validated in the experiment.However, there are lots of more special characteristics in Chinese context such as the same-pronunciation word and the similar-shape word. To solve this problem, this paper gives an algorithm named "PINYIN Transfer". This algorithm is more intelligent because it influences the user instead of the computer.At last, this paper design and implement a proxy server through coding and embed the algorithm into the codes. In the test, the proxy server not only completes the filtering but also has a good performance.