抽象的な

Ontology similarity measure algorithm with operational cost and application in biology science

Wei Gao, Li Shi

Ontology similarity calculation iswidely used in various fields such as biology science. In this paper, we propose new algorithmsfor ontology similarity measurement such that the new computational models consider operational cost in the real implement.Then,we apply it into biology science and it is highlighted that new calculating version is designed for multidividing setting. The experiment dataon “Go” ontology demonstrate the new algorithm have higher efficiency in biology science application.