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现代图书情报技术  2009, Vol. 25 Issue (12): 25-30     https://doi.org/10.11925/infotech.1003-3513.2009.12.05
  知识组织与知识管理 本期目录 | 过刊浏览 | 高级检索 |
1998-2008年国内外本体应用研究计量分析及可视化
胡泽文  王效岳
(山东理工大学科技信息研究所   淄博 255049)
Quantitative Analysis and Visualization of Ontology Application Research in 1998-2008 at Home and Abroad
Hu Zewen   Wang Xiaoyue
(Institute of Scientific & Technical Information, Shandong University of Technology, Zibo 255049, China)
全文: PDF (860 KB)  
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摘要 

运用文献计量分析方法、计算机统计分析技术、社会网络分析软件对本体领域的历史文献进行分析,通过绘制文献数量分布图、核心关键词的共现网络,挖掘当前本体应用领域的发展趋势、概况和研究热点等信息,以期让读者对国内外本体应用领域的研究概况、趋势和热点有一个直观、清晰的认识,为以后的研究工作提供指引。

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胡泽文
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关键词 本体共现分析计量分析社会网络分析可视化图谱    
Abstract

This paper makes an analysis on the historical literatures of Ontology domain by using bibliometric analysis method,computer statistic analysis technology, social network analysis software, and draws the literature quantity distribution map,the co-occurrence network of core keywords, which can excavate the development trend,general situation and research hot points of Ontology application domains, giving readers an intuitive,clear understanding, and providing a guide for the following research works.

Key wordsOntology    Co-occurrence analysis    Quantitative analysis    Social network analysis    Visualizing map
收稿日期: 2009-11-06      出版日期: 2009-12-25
ZTFLH: 

G250 

 
     
  TP391

 
通讯作者: 胡泽文     E-mail: huzewen915@163.com
作者简介: 胡泽文,王效岳
引用本文:   
胡泽文,王效岳. 1998-2008年国内外本体应用研究计量分析及可视化[J]. 现代图书情报技术, 2009, 25(12): 25-30.
Hu Zewen,Wang Xiaoyue. Quantitative Analysis and Visualization of Ontology Application Research in 1998-2008 at Home and Abroad. New Technology of Library and Information Service, 2009, 25(12): 25-30.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2009.12.05      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2009/V25/I12/25

[1] Gruber T R.A Translation Approach to Portable Ontology Specifications[J].Knowledge Acquisition, 1993,5 (2):199-220.
[2] Borst P, Akkermans H. An Ontology Approach to Product Disassembly[M].Heidelberg:Springer-Verlag,1997:15-19.
[3] 2008 NIPS UCINET & NetDraw Workshop[EB/OL].[2009-08-20]. http://www.hks.harvard.edu/netgov/files/NIPS/Halgin_NIPS_2008.pdf.
[4] Maedche A,Staab S.Ontology Learning for the Semantic Web[J].IEEE Intelligent System,2001,16(2):72-79.
[5] Missikoff M,Navigli R,Velardi P.Integrated Approach to Web Ontology Learning and Engineering[J].IEEE Computer,2002,35(11):60-63.
[6] Pahl C.Semantic Model-driven Architecting of Service-based Software Systems[J]. Information and Software Technology,2007,49(8):838-850.
[7] Urvi Shah, Tim Finin, Anupam Joshi. Information Retrieval on the Semantic Web[M]. New York, NY, USA:ACM Press,2002:46l一468.
[8] Muller H M, Kenny E E, Stemberg  P W. Textpresso: An Ontology-based Information Retrieval and Extraction System for Biological Literature[J].Plos Biology,2004,2(11):1947-1958.
[9] Domingue J, Cabral L, Galizia S, et al. IRS-III: A Broker-based Approach to Semantic Web Services[J]. Web Semantics: Science, Services and Agents on the World Wide Web,2008,6(2):109-132.
[10] Maamar Z, Narendra N C, Sattanathan S. Towards an Ontology-based Approach for Specifying and Securing Web Services[J]. Information and Software Technology, 2006,48(7):441-455.
[11] Zhang M, Duan Z H, Zhao C T. Semi-automatically Annotating Data Semantics to Web Services Using Ontology Mapping[C].In:Proceedings of 12th International Conference on Computer Supported Cooperative Work in Design.2008:470-475.
[12] Rubén Lara, Dumitru Roman, Axel Polleres, et al.A Conceptual Comparison of WSMO and OWL-S[C]. In:Proceedings of the European Conference on Web Services.2004 :254-269.
[13] Liu Y,Liu  X H,Yang A G.The Application and Research of Ontology in Knowledge Management Field [C]. In:Proceedings of 2008 IFIP International Conference on Network and Parallel Computing.2008:561-564.
[14] Wang G M,Yang L.DOKMF: Distributed Ontology-based Knowledge Management Framework[C].In:Proceedings of the 4th International Conference on Fuzzy Systems and Knowledge Discovery.2007(2):2-6.
[15] Mao Y X, Chen H J, Jiang X H. Domain Knowledge Resource Management Based on Sub-Ontology[J]. Computer Integrated Manufacturing Systems, 2008,14(7):1434-1440.
[16] Agustina Buccella, Alejandra Cechich, Pablo Fillottrani. Ontology-driven Geographic Information Integration: A Survey of Current Approaches[J].Computers & Geosciences,2009,35(4):710-723.
[17] Díaz-Galiano M C, Martín-Valdivia M T, Urea-López L A. Query Expansion with a Medical Ontology to Improve a Multimodal Information Retrieval System[J]. Computers in Biology and Medicine,2009,39(4):396-403.
[18] Shu X Y, Qin X S. Study of Enterprise Project Management Knowledge Base Management System Based on Ontology[C]. In:Proceedings of International Conference on Information Management, Innovation Management and Industrial Engineering.2008(3):275-278.
[19] Chen Q Z, Gu Y J, Yin X D, et al. Design and Implement of Distributed Knowledge Management System Based on Ontology[J].Journal of Computational Information Systems,2008,4(1):279-286.
[20] Gardner S P. Ontologies and Semantic Data Integration[J]. Drug Discovery Today, 2005,10(14):1001-1007.

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