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.