Ontology-based grain emergency system

被引：0
作者：
Tingting L. [1 ]
Guangli L. [1 ]
Tong L. [1 ]
机构：
[1] China Agricultural University, China
来源：
Advances in Information Sciences and Service Sciences | 2011年 / 3卷 / 05期
关键词：
Emergency; Ontology; System;
D O I：
10.4156/aiss.vol3.issue5.4
中图分类号：
学科分类号：
摘要：
Grain closely involves people's livelihood. Prompt decisions of higher efficiency, better quality and lower cost stand in the center of grain emergency measures. The dissertation introduces the Domain Ontology construction method based on Upper Ontology and constructs the Domain Knowledge Base of grain emergency through researching on the construction tools and methodology of Ontology, the description language, Upper Ontology and so on. The dissertation designs an intelligent casesretrieval algorithm on the basis of semantic similarity calculation. Finally, many efforts are made for the actualized of the intelligent emergency decision system of grain. The result shows that this system can find the solution of the similar problem quickly and serve for the accidental public emergency.
引用
收藏
页码：27 / 35
页数：8
相关论文
共 10 条
[1]  
Xiaoxia Z., Xiaoming H., Systematic analysis of emergency management system of public crisis of our government, Academic Exchange, 1, 3, pp. 23-25, (2009)
[2]  
Xiaofeng Z., An overview of research on knowledge management, Information Studies: Theory& Application, 26, 5, pp. 406-408, (2003)
[3]  
Jianping H., Knowledge management research in the domestic and international, Journal of Information, 3, 8, pp. 17-19, (2003)
[4]  
Shi W., Wang H., Yin P., Liu J.N.K., Ontology-driven information sharing mechanism in supply chain environment, JCIT: Journal of Convergence Information Technology, 6, 3, pp. 217-225, (2011)
[5]  
Qiu S., Wang Y., Juan L., Teng M., Cheng L., Bioinformatics database integration based on biomedical ontology, IJACT: International Journal of Advancements In Computing Technology, 3, 2, pp. 66-75, (2011)
[6]  
Li S., Qun L., Method of maximum entropy model for language processing, Computer Science, 2, 7, pp. 11-14, (2002)
[7]  
Noy N.F., Decker S.M., Creating semantic web contents with protege-2000, IEEE Intelligent Systems, 16, 2, pp. 60-71
[8]  
Yang C.-Y., Lin H.-Y., Semantic annotation for the web of data: An ontology and RDF based automated approach, JCIT: Journal of Convergence Information Technology, 6, 4, pp. 318-327, (2011)
[9]  
Li J., Ding Y., Shi Y., Zhang J., Building a large annotation ontology for movie video retrieval, JDCTA: International Journal of Digital Content Technology and Its Applications, 4, 5, pp. 74-81, (2010)
[10]  
Choksi A.T., Jinwala D., Improving semantic matching of grid resources using refined ontology with complement class, IJACT: International Journal of Advancements In Computing Technology, 2, 5, pp. 129-139, (2010)
1