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New Technology of Library and Information Service  2013, Vol. 29 Issue (3): 21-26    DOI: 10.11925/infotech.1003-3513.2013.03.04
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Citation Knowledge Linking Mode for Linked Data
Gao Jinsong1, Liang Yanqi1, Ma Qianqian1, Zhou Ximan1, Fu Xuxiong2
1. School of Information Management, Central China Normal University, Wuhan 430079, China;
2. Library of Huali College, Guangdong University of Technology, Guangzhou 511325, China
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Abstract  This paper proposes a citation knowledge linking mode based on linked data after analyzing the traditional citation knowledge linking, which integrates knowledge sources of different disciplines to build knowledge network in the Semantic Web environment by using technologies of literature knowledge extraction,literature semantization, knowledge linking publishing,knowledge source linking and obtaining. Finally, an experiment which unites Parliament and OpenURL is given to test this mode.
Key wordsLinked data      Knowledge linking      Citation     
Received: 30 January 2013      Published: 14 May 2013
:  TP393  

Cite this article:

Gao Jinsong, Liang Yanqi, Ma Qianqian, Zhou Ximan, Fu Xuxiong. Citation Knowledge Linking Mode for Linked Data. New Technology of Library and Information Service, 2013, 29(3): 21-26.

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https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2013.03.04     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2013/V29/I3/21

[1] 叶继元.引文的本质及其学术评价功能辨析[J]. 中国图书馆学报 ,2010,36(1):35-39.(Ye Jiyuan. Analyzing the Essence of Citations and Their Functions in Academic Assessment[J].Journal of Library Science in China,2010,36(1):35-39.)
[2] Sanderson R, Van De Sompel H. Cool URIs and Dynamic Data[J]. IEEE Internet Computing, 2012,16(4):76-79.
[3] 贺德方,曾建勋.基于语义的馆藏资源深度聚合研究[J]. 中国图书馆学报 ,2012,38(4):79-87.(He Defang, Zeng Jianxun. Study on In-depth Integration of Library Collections Based on Semantics[J].Journal of Library Science in China,2012,38(4):79-87.)
[4] 赵火军,温有奎.基于引文链的知识元挖掘研究[J]. 情报杂志 ,2009,28(3):148-150.(Zhao Huojun, Wen Youkui. Research on Mining Knowledge Elements Based on Citation Chain[J].Journal of Intelligence,2009,28(3):148-150.)
[5] 姜永常.基于知识元语义链接的知识网络构建[J]. 情报理论与实践 ,2011, 34(5):50-53, 45.(Jiang Yongchang. Knowledge Network Construction Based on Semantic Linking of Knowledge Element[J].Information Studies: Theory & Application,2011, 34(5):50-53, 45.)
[6] 曾建勋.基于引文的知识链接系统构建[J]. 情报理论与实践 ,2012,35(2):58-63.(Zeng Jianxun. Research on the Construction of the Citation-based Knowledge Linking System [J].Information Studies: Theory & Application, 2012,35(2):58-63.)
[7] Volz J, Bizer C, Gaedke M, et al. Silk-A Link Discovery Framework for the Web of Data[C].In: Proceedings of the 2nd Workshop about Linked Data on the Web (LDOW2009), Madird, Spain.2009.
[8] Berners-Lee T. Linked Data[EB/OL].[2012-12-20].http://www.w3.org/DesignIssues/Linked Data.html.
[9] Bizer C, Cyganiak R, Health T. How to Publish Linked Data on the Web[EB/OL].[2012-10-10]. http://wifo5-03.informatik.uni-mannheim.de/bizer/pub/LinkedDataTutorial/.
[10] 刘炜.关联数据:概念、技术及应用展望[J]. 大学图书馆学报 ,2011,29(2):5-12.(Liu Wei. Overview on Linked Data: Concept, Technology and Implementation[J].Journal of Academic Libraries, 2011,29(2):5-12.)
[11] Isaac A, Waites W, Young J, et al. Library Linked Data Incubator Group: Datasets, Value Vocabularies, and Metadata Element Sets[EB/OL].[2012-02-10].http://www.w3.org/2005/Incubator/lld/XGR-lld-vocabdataset-20111025.
[12] 夏翠娟,刘炜,赵亮,等. 关联数据发布技术及其实现——以Drupal为例[J]. 中国图书馆学报 ,2012 ,38(1):49-57.(Xia Cuijuan, Liu Wei, Zhao Liang, et al. The Current Technologies and Tools for Linked Data: A Case of Drupal[J].Journal of Library Science in China,2012,38(1):49-57.)
[13] Fallah A, Mohammadzadeh M. Bayesian Regression Analysis with Linked Data Using Mixture Normal Distributions[J]. Statistical Papers, 2010,51(2):421-430.
[14] Chen C, Wu Z, Wu D, et al. Nearest Access: Rapid Location for Interlibrary Loan Resources Using OpenURL[J].The Electronic Library, 2011, 29(6):792-802.
[15] 沈志宏, 刘筱敏, 郭学兵, 等. 关联数据发布流程与关键问题研究——以科技文献、科学数据的发布为例[J]. 中国图书馆学报 ,2013, 39(2): 53-62.(Shen Zhihong, Liu Xiaomin, Guo Xuebing, et al. A Research on Publishing Workflow and Key Issues of Linked Data: Experience with Publishing Scientific Literature and Scientific Data as Linked Data[J].Journal of Library Science in China, 2013, 39(2): 53-62.)
[16] Glasser S, Blythe K.NISO Webinar: It’s Only as Good as the Metadata: Improving OpenURL and Knowledge Base Quality[J]. Serials Review,2011,37(1):47-60.
[17] W3C. SPARQL Protocol for RDF[EB/OL].[2012-10-10].http://www.w3.org/TR/rdf-sparql-protocol/.
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