Please wait a minute...
New Technology of Library and Information Service  2007, Vol. 2 Issue (7): 14-17    DOI: 10.11925/infotech.1003-3513.2007.07.04
Current Issue | Archive | Adv Search |
Study on OWL-based Construction Method of Defense Products and Organizations Ontology
Ma Jing1   Xie Juanna1   Hou Junjie2
1(College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
2(China Aerospace Engineering Consultation Center, Beijing 100037, China)
Download: PDF (700 KB)  
Export: BibTeX | EndNote (RIS)      
Abstract  

From the present theory of semantic Web and Ontology, the tools and methods to construct OWL-based Ontology about defense organizations and products are explored in this paper. The Ontology of the world defense industry organizations and products is constructed with Protégé3.2. Finally, the relevant visible figure of this Ontology is presented.

Key wordsSemantic Web      Domain Ontology      OWL      Construction method     
Received: 23 May 2007      Published: 25 July 2007
ZTFLH: 

G350.7 

 
     
  TP391

 
Corresponding Authors: Ma Jing     E-mail: majing5525@126.com
About author:: Ma Jing,Xie Juanna,Hou Junjie

Cite this article:

Ma Jing,Xie Juanna,Hou Junjie. Study on OWL-based Construction Method of Defense Products and Organizations Ontology. New Technology of Library and Information Service, 2007, 2(7): 14-17.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.07.04     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I7/14

[1] Ushold M. Knowledge level modeling:concepts and terminology[J]. Knowledge Engineering Review, 1998,13(1):5-29.
[2] 陈刚,陆汝钤,金芝.基于领域知识重用的虚拟领域本体构造[J].软件科学,2003,14(3):10-13.
[3] Perez A G, Benjamins V R. Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem Solving Methods[C]. In:Benjamins V R,Chandrasekaran B, Gomez Perez A, et al.Proceedings of the IJCAI-99 Workshop on Ontologies and Problem-Solving Methods(KRR5). Stockholm:Sweden,1999:1-15.
[4] OWL Web Ontology Language Guide[EB/OL].[2007-05-17]. http://www.w3.org/TR/owl-guide/.
[5] Protégé[EB/OL].[2007-05-17]. http://Protege.stanford.edu.
[6] Transforming the Defense Industrial Base: A Roadmap[EB/OL]. [2007-05-17]. http://www.acq.osd.mil/ip/.
[7] 军工先进制造技术信息网[EB/OL].[2007-05-17]. http://www.diamt.net.cn/.
[8] 国防在线网站[EB/OL].[2007-05-17]. http://www.defenseonline.com.cn/index.htm.
[9] 中国航空信息网[EB/OL].[2007-05-17]. http://www.aeroinfo.com.cn/.
[10] 中国军民两用高技术网[EB/OL].[2007-05-17]. http://www.chinatoptech.com.
[11] 国家航空局网站[EB/OL].[2007-05-17]. http://www.cnsa.gov.cn/n615708/index.
[12] 国防科工委网站[EB/OL].[2007-05-17]. http://www.costind.gov.cn/.
[13] 中国大百科全书智慧藏[EB/OL]. [2007-05-17]. http://wordpedia.pidc.org.tw/.

[1] Wei Wu, Xie Xingzheng. The Determinants of Continuance Intention to Pay: Empirical Research from Online Knowledge Payment Users[J]. 数据分析与知识发现, 2020, 4(8): 119-129.
[2] Yu Chuanming, Wang Manyi, Lin Hongjun, Zhu Xingyu, Huang Tingting, An Lu. A Comparative Study of Word Representation Models Based on Deep Learning[J]. 数据分析与知识发现, 2020, 4(8): 28-40.
[3] Liang Ye,Li Xiaoyuan,Xu Hang,Hu Yiran. CLOpin: A Cross-Lingual Knowledge Graph Framework for Public Opinion Analysis and Early Warning[J]. 数据分析与知识发现, 2020, 4(6): 1-14.
[4] Wei Tingxin,Bai Wenlei,Qu Weiguang. Sense Prediction for Chinese OOV Based on Word Embedding and Semantic Knowledge[J]. 数据分析与知识发现, 2020, 4(6): 109-117.
[5] Su Qing,Chen Sizhao,Wu Weimin,Li Xiaomei,Huang Tiankuan. Personalized Recommendation Model Based on Collaborative Filtering Algorithm of Learning Situation[J]. 数据分析与知识发现, 2020, 4(5): 105-117.
[6] Lv Huakui,Hong Liang,Ma Feicheng. Constructing Knowledge Graph for Financial Equities[J]. 数据分析与知识发现, 2020, 4(5): 27-37.
[7] Yu Chuanming,Yuan Sai,Zhu Xingyu,Lin Hongjun,Zhang Puliang,An Lu. Research on Deep Learning Based Topic Representation of Hot Events[J]. 数据分析与知识发现, 2020, 4(4): 1-14.
[8] Wei Wei,Guo Chonghui,Xing Xiaoyu. Annotating Knowledge Points & Recommending Questions Based on Semantic Association Rules[J]. 数据分析与知识发现, 2020, 4(2/3): 182-191.
[9] Haixia Sun,Panpan Deng,Jiao Li,Liu Shen,Qing Qian. Automatic Concept Update Strategy Towards Heterogeneous Terminology Integration[J]. 数据分析与知识发现, 2020, 4(1): 121-130.
[10] Chuanming Yu,Haonan Li,Manyi Wang,Tingting Huang,Lu An. Knowledge Representation Based on Deep Learning:Network Perspective[J]. 数据分析与知识发现, 2020, 4(1): 63-75.
[11] Jiahui Hu,An Fang,Wanqing Zhao,Chenliu Yang,Huiling Ren. Annotating Chinese E-Medical Record for Knowledge Discovery[J]. 数据分析与知识发现, 2019, 3(7): 123-132.
[12] Haici Yang,Jun Wang. Visualizing Knowledge Graph of Academic Inheritance in Song Dynasty[J]. 数据分析与知识发现, 2019, 3(6): 109-116.
[13] Zhu Fu,Yuefen Wang,Xuhui Ding. Semantic Representation of Design Process Knowledge Reuse[J]. 数据分析与知识发现, 2019, 3(6): 21-29.
[14] Ruihua Qi,Junyi Zhou,Xu Guo,Caihong Liu. Extracting Book Review Topics with Knowledge Base[J]. 数据分析与知识发现, 2019, 3(6): 83-91.
[15] Yujie Cao,Jin Mao,Rongqing Pan,Zhichao Ba,Gang Li. Analyzing Characteristics of Interdisciplinary Research Evolutions: Case Study of Medical Informatics[J]. 数据分析与知识发现, 2019, 3(5): 107-116.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn