he Method to Determine Bibliographic Types Based on Decision Tree

The key to normative checking of bibliography is to find out bibliographic types. In order to solve the problem to check the correctness of bibliography in the absence of bibliographic types, a novel method to determine bibliographic types based on decision tree is proposed in this paper. This method extracts bibliographic items from the references and utilizes machine learning method to construct a decision tree, and then to determine the bibliographic types according to the decision rules. The performance is compared with the Naive Bayes classifier. Experimental results show that the proposed method can effectively determine the bibliographic types, which lays the foundation for the normative checking of bibliography and the effective use of bibliography.