A new algorithm based on the Semantic Web for text classification

With the large increasing of the Internet information, if not depend on the automatic text classification but manually it can´t be completed. Thus the text classification becomes an important research field. This paper introduces firstly the Semantic Web and the related technology, and then gives the automatic classifier based on the Semantic Web. The result of the research showes that the SOM neural network can decrease the complexity of time and space and provide good algorithm for the real-time classification under the condition of handling text thereby improve the classification accuracy rate.