Research on Ontology-Based Chinese Scientific Papers Classification

With the rapid development of technology and society, academic field tends to be informationization. Electronic information on the Internet attracts more and more attention by the majority of scholars. The article executed systematic study on special text format and language style for Chinese scientific papers , proposed ontology-based classification framework of Chinese scientific papers, constructed Information Science ontology. The new feature extraction algorithm and the text semantic similarity algorithm were applied to the whole process of the framework. Experiment results show that the proposed method has got pretty good effect in recall , precision, and F1 value.