柑橘肥水智能决策支持系统的变化预测方法及应用效果  被引量:2

Change prediction approach and application effect for citrus fertilization and irrigation intelligent decision support system

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作  者:王艺[1] 王英[1] Wang Yi Wang Ying(School of Computer and Information Science, Southwest University, Chongqing 400715, China)

机构地区:[1]西南大学计算机与信息科学学院,重庆400715

出  处:《农业工程学报》2017年第16期174-181,共8页Transactions of the Chinese Society of Agricultural Engineering

基  金:国家自然科学基金(61303229);第47批留学回国人员科研启动基金;西南大学基本科研业务费专项(XDJK2016C040)

摘  要:本体是农业智能信息系统的核心,是实现精准农业信息服务的关键。本体的维护和管理过程将导致本体发生各种变化,从而对其支撑的应用程序产生不同程度的影响。如何有效地分析本体元素的变化对应用程序的影响是农业智能信息系统维护和管理的难题。该文提出一种基于界面组件依赖矩阵、本体概念依赖矩阵及本体概念-界面组件依赖矩阵的系统变化预测方法,实现了避免代码层分析而较准确预测本体概念的变化对应用程序用户界面组件的影响。以包含22个本体概念和6个界面组件的柑橘肥水智能决策支持系统为案例分析,验证结果表明:该变化预测方法能够达到85%的平均准确率和98%的平均召回率。该变化预测方法对解决以本体为核心的农业智能信息系统的变化管理难题可提供有效的解决方案。Agricultural information systems rely heavily on ontologies to realize intelligent and precision agricultural information services such as disease diagnosis and crop planting management.In the development of agricultural applications,due to the massive and cross domain knowledge required in the agricultural domain,it is impossible to develop applications after the completion of domain ontologies.Due to various reasons,ontologies are constantly modified,augmented,or evolved during the application development.Since ontologies are often tightly interwoven with applications,when changes occur in ontologies,the applications such as query services and decision support services that rely on them will be affected in different ways and may not function correctly.Therefore,it is important to provide mechanisms that fill the gap between ontology evolution management and the change management of knowledge based systems.In this paper,we proposed an approach to analyze and predict change impacts on user interface components when the underlying ontology is changed of its concepts.Our approach avoided the hard and error-prone task to analyze change impacts at the lower level,i.e.,source code level.Instead,in our method,the change impact prediction was accomplished at the higher conceptual level.Specifically,we focused on the problem that when ontology concepts were changed,how to determine the affected user interface components of applications without diving into the source codes of the system.Our approach was based on constructing three matrices:the interface component dependency matrix,the ontology concept dependency matrix,and the ontology concept-user interface component correlation matrix,at the conceptual level.The interface component dependency matrix specified the direct reliance between interface components based on the shared interface variables of interface components.The ontology concept dependency matrix described the direct relationships between ontology concepts derived from domain ontology.The ontology concept-

关 键 词:系统分析 软件结构 预测 语义本体 本体变化管理 柑橘肥水决策支持系统 软件变化管理 

分 类 号:S126[农业科学—农业基础科学]

 

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