基于SWRL的梨树病害领域本体隐含关系挖掘  

Mining of Implicit Relations for Pear Diseases Domain Ontology Based on SWRL

作　　者：孙倩[1] 刘洪岩[2] 王玥[1] 姚胜男 

机构地区：[1]山东农业大学信息科学与工程学院,山东泰安271018 [2]泰山职业技术学院信息中心,山东泰安271000

出　　处：《山东农业科学》2015年第6期125-128,共4页Shandong Agricultural Sciences

基　　金：国家农业信息化工程技术研究中心重点开放实验室开放课题(NERCITA-KFKT2013-001);山东省2013年度农业重大应用技术创新课题

摘　　要：针对梨树病害领域本体的构建、推理及完善,本文提出了基于SWRL的梨树病害领域本体的构建方法,该方法包括确定梨树病害领域的核心概念集、添加概念的属性及概念之间的关系、添加概念的实例、表示领域本体四个步骤;此外,还设计了一系列SWRL规则,使用Jess推理引擎,建立了SWRL规则的推理机制,通过推理的方法实现了自动挖掘梨树病害领域本体的隐含关系,从而完善梨树病害领域本体。Aiming to build, reason and perfect pear disease domain ontology, a build approach was proposed based on SWRL. The approach was consisted of confirming core concepts, the properties of added con- cepts and the relationships between concepts, the instances of added concepts and representing domain ontolo- gy. In addition, SWRL rules were designed, SWRL reasoning mechanism was established by Jess reasoning engine. Finally, implicit relationships were mined and diseases domain ontology was renewed by reasoning.

关 键 词：SWRL规则 梨树病害 领域本体 隐含关系 自动挖掘 

分 类 号：S436.612.1[农业科学—农业昆虫与害虫防治]