Ontology similarity measure algorithm based on KPCA and application in biology science

Xiangguang He, Yaya Wang and W

Abstract

Ontology, as a model of knowledge representation, has widely used in various fields such as chemical scienceand biology science. In this article, we present new ontology similarity calculation algorithm in terms of kernel principal component analysis and spectral cut-off regression. Then, we apply it with biology computing application.The experiment dataon “Go” ontology show the new algorithm have higher precision ratio in biology science application.