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基于Jena的台风灾害领域本体模型推理
引用本文:黄风华,晏路明.基于Jena的台风灾害领域本体模型推理[J].计算机应用,2013,33(3):771-775.
作者姓名:黄风华  晏路明
作者单位:1.福州大学 阳光学院, 福州 350015; 2.福建师范大学 地理科学学院, 福州 350007
基金项目:国家社会科学基金资助项目(03BTJ004); 福建省教育厅科技项目(JB11245)。
摘    要:针对传统台风灾害预测以统计学方法为主,而缺乏语义驱动和智能推理的问题,提出一种基于Jena的台风灾害领域本体模型推理机制。首先,在分析台风灾害的影响因素和演变历史的基础上,采用网络本体语言(OWL)建立台风灾害领域本体模型; 其次,利用Jena推理引擎和自定义规则对台风灾害本体模型进行推理,挖掘被隐藏的台风灾害影响因素或灾害链信息; 最后,构建了本体驱动的台风灾害专家系统(Onto-TDES)。实验结果证明,该方案能初步解决传统台风灾害预测缺乏语义驱动和智能推理的问题,提高台风灾害管理与预测的智能化水平。

关 键 词:本体建模  语义网络  台风灾害  专家系统  
收稿时间:2012-10-08
修稿时间:2012-11-01

Reasoning of ontology model for typhoon disasters domain based on Jena
HUANG Fenghua YAN Luming.Reasoning of ontology model for typhoon disasters domain based on Jena[J].journal of Computer Applications,2013,33(3):771-775.
Authors:HUANG Fenghua YAN Luming
Affiliation:1.Sunshine College, Fuzhou University, Fuzhou Fujian 350015, China;
2.College of Geographical Sciences, Fujian Normal University, Fuzhou Fujian 350007, China
Abstract:Some problems exist in the traditional typhoon disasters prediction, such as depending mainly on statistical methods, lack of semantic-driven processes and intelligent reasoning. In order to solve these problems, a reasoning mechanism of the ontology model of typhoon disasters domain based on Jena was proposed. Firstly, the ontology model of typhoon disasters domain expressed by Web Ontology Language (OWL) was built based on analyzing the impact factors and evolution history of the typhoon disasters fully. Secondly, the Jena reasoning engine and custom rules were used for the reasoning of typhoon disasters ontology model and mining the hidden impact factors of typhoon disasters or the information of disaster chains. Finally, an Ontology-driven Typhoon Disasters Expert System (Onto-TDES) was built. The experimental results show that the mechanism can solve the lack of semantic-driven processes and intelligent reasoning preliminarily, and improve the intelligent level of the management and prediction of the typhoon disasters.
Keywords:ontology modeling                                                                                                                        semantic network                                                                                                                        typhoon disaster                                                                                                                        expert system
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