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| 基于多维关联规则的本体规则扩展方法 | |
| 引用本文： | 董俊,王锁萍,熊范纶,张友华. 基于多维关联规则的本体规则扩展方法[J]. 模式识别与人工智能, 2009, 22(5) |
| 作者姓名： | 董俊 王锁萍 熊范纶 张友华 |
| 作者单位： | 1. 南京邮电大学,软件学院,信息网络研究所,南京,210003 2. 中国科学院合肥智能机械研究所,合肥,230031 3. 安徽农业大学计算机学院,合肥,230036 |
| 基金项目： | 国家高技术研究发展计划(863计划) |
| 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. |
| 关 键 词： | 本体 知识发现(KDD) 多维关联规则 规则扩展 |
Methods for the Extension Rules of Ontology Based on Multidimensional Association Rules |
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| DONG Jun,WANG Suo-Ping,XIONG Fan-Lun,ZHANG You-Hua. Methods for the Extension Rules of Ontology Based on Multidimensional Association Rules[J]. Pattern Recognition and Artificial Intelligence, 2009, 22(5) | |
| Authors: | DONG Jun WANG Suo-Ping XIONG Fan-Lun ZHANG You-Hua |
| 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. |
| Keywords: | Ontology Knowledge Discovery in Database (KDD) Multidimensional Association Rule Rule Extension |
| 本文献已被 万方数据 等数据库收录！ | |