基于云变换的农业领域本体概念构建方法研究  

A Method of Constructing Agricultural Ontology Concept Based on Cloud Transform

作　　者：赵会园 李绍稳[1] 刘超[1] 章丽[1] 

机构地区：[1]安徽农业大学信息与计算机学院安徽省农业信息学重点实验室,安徽合肥230036

出　　处：《安徽师范大学学报（自然科学版）》2015年第2期123-128,共6页Journal of Anhui Normal University(Natural Science)

基　　金：国家自然科学基金项目(31271615);安徽省高等学校自然科学研究项目(KJ2013Z077);安徽省高校省级优秀青年人才基金(2013SQRL014ZD)

摘　　要：针对现有的本体语言不能够表达农业领域知识中存在的诸多模糊概念这一事实,本文提出一种基于云变换的不确定性本体概念的构建方法.设计通过不确定性本体概念的特征属性选择、概念维度数字特征提取与概念层次跃升,得到较粗粒度的不确定性概念的综合形式化表示,并通过实例验证方法的有效性.此外还对传统的云变换算法中熵的估计步骤进行了改进,证明其在时间复杂度上有一定优势.实验结果表明,该方法所提取的概念维度数字特征是有效的,能够较好的表示概念的随机性与模糊性,有助于农业领域本体的客观构建.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.

关 键 词：本体 不确定性知识 云模型 云变换 综合数字特征值 形式化 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]