Text-based content classification expert system knowledge base url classification

Text classification expert system knowledge base URL classification based on content classification belongs to the field of large mass of data. The present invention uses artificial intelligence expert systems approach, through the "full URL", "with a domain name," "without a domain name," "full domain name" and "full domain name" and other classification rules reasoning, as well as its List matching of "the left", "left", "including" and "right side" and classification of knowledge; content classification reasoning if the match is successful, then the "URL classification of knowledge" is updated in real time, will store the result in the classification " URL classification result "intermediate data files, content classification ends. If the match fails reasoning, the content classification fails. Update URL classification knowledge base, the system getting smarter, not only improves the efficiency of content categories, more importantly, to improve the coverage and accuracy of content classification.