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基于多维关联规则的本体规则扩展方法

Methods for the Extension Rules of Ontology Based on Multidimensional Association Rules

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【作者】 董俊王锁萍熊范纶张友华

【Author】 DONG Jun1,WANG Suo-Ping1,XIONG Fan-Lun2,ZHANG You-Hua31(Institute of Information Network,School of Software,Nanjing University of Posts and Telecommunications,Nanjing 210003)2(Institute of Intelligent Machines,Chinese Academy of Sciences,Hefei 230031)3(College of Computer,Anhui Agricultural University,Hefei 230036)

【机构】 南京邮电大学软件学院信息网络研究所中国科学院合肥智能机械研究所安徽农业大学计算机学院

【摘要】 目前扩充和丰富本体存在很大的局限性.对此,文中提出采用多维关联规则技术扩展本体规则方法.通过对本体规则提取,在本体指导下的一致性处理,规则映射的建立,以及对概念本体的重新识别和更新等技术和方法充实和扩展概念本体.茶病虫害预测本体的实验结果表明该方法易于实现且具有较高的可行性和有效性.

【Abstract】 Currently,the extension and enrichment for ontology have some limitations.Therefore,an approach is presented to extend ontology rules with multi-dimensional association rule technology.The conception ontology is enriched and extended by ontology rules extraction,consistency treatment under guidance of the ontology,rules mapping establishment,and the re-identification and update for conception ontology.The experimental results of tea diseases and pests predicting ontology show that the proposed approach can be easily implemented and has good feasibility and validity.

【基金】 国家863计划资助项目(No.2006AA10z249)
  • 【文献出处】 模式识别与人工智能 ,Pattern Recognition and Artificial Intelligence , 编辑部邮箱 ,2009年05期
  • 【分类号】TP311.13
  • 【被引频次】6
  • 【下载频次】285
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