A Method of Constructing Agricultural Ontology Concept Based on Cloud Transform
Zhao Hui-yua · Journal of Anhui Normal University · 2015
Owing to much uncertain knowledge in agricultural domain that ontology can not express,this paper put forward a method of extracting uncertain ontology concepts based on cloud transform algorithm.By concept characteristic attribute selecting,concept integrated digital features extracting,concepts merging,it can get the formalized expression of concepts and demonstrate the effectiveness of this approach through the instance.In addition,the traditional entropy estimation method is improved,which proves that it has a certain advantages on the time complexity.The results show the digital features of concept extracted by this method are effective.They can represent the randomness and fuzziness of concept and are helpful to construct the agricultural domain ontology objectively.