Semi-supervised Ontology Algorithm in Regularization Setting

In this paper,we pose semi-supervised ontology algorithm under the framework of the regularization such that the information of unlabeled data is fully integrated into the calculation model.At the same time,the data is embedded in the feature space,and feature space regularization semi-supervised ontology learning algorithm is given via the feature representation theory.Two experiments show that the new algorithm for specific applications with high efficiency.