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基于SWRL的梨树病害领域本体隐含关系挖掘

2015-08-18孙倩刘洪岩王玥姚胜男

山东农业科学 2015年6期

孙倩+刘洪岩+王玥+姚胜男

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。

关键词:SWRL规则;梨树病害;领域本体;隐含关系;自动挖掘

中图分类号:S436.612.1  文献标识号:A  文章编号:1001-4942(2015)06-0125-04

Mining of Implicit Relations for

Pear Diseases Domain Ontology Based on SWRL

Sun Qian1, Liu Hongyan2, Wang Yue1, Yao Shengnan1

(1. School of Information Science and Engineering, Shandong Agricultural University, Taian 271018, China;

2. Information Center, Taishan Polytechnic, Taian 271000,China)

Abstract 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 concepts and the relationships between concepts, the instances of added concepts and representing domain ontology. 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.

Key words SWRL rule; Pear disease; Domain ontology; Implicit relation; Automatic mining

本体可以描述特定领域中的资源关系,而推理则可借助一定的规则,通过已知的关系推出隐含的关系。如今对本体的应用大多将其作为一个建模工具,而忽略了它的推理功能。本文使用SWRL规则语言与Jess推理引擎相集成,建立基于SWRL规则的本体推理机制,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,从而进一步完善梨树病害领域本体的描述。

1 基于SWRL规则推理的梨树病害领域本体的构建

1.1 确定梨树病害领域的核心概念集

构建领域本体首先要确定本体将覆盖的专业领域,经过信息收集和需求分析,本文选取梨树病害领域作为建立领域本体的对象。需首先确定该领域最重要的概念,然后确定与之相关的其他重要概念,以建立核心概念集。本文首先确定“Pear-tree”,然后确定与其相关的概念。表1给出了梨树病害领域本体的核心概念的名称及含义。……

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