Ontology Learning Algorithm Based on TLP Empirical Model
HE Guo-yin · Dali Xueyuan xuebao · 2014
By combing truncated Lasso penalty(TLP)with ontology regression algorithm, this paper proposes the new ontology similarity computation and ontology mapping algorithm based on TLP empirical model. The new algorithm inherits the characteristics of TCP and has the quality of unbiased parameter estimation. The experiment shows that the new algorithm achieves higher efficiency in specific applications when it is applied to the GO and the physical education ontology.