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New Technology of Library and Information Service  2011, Vol. 27 Issue (3): 38-44    DOI: 10.11925/infotech.1003-3513.2011.03.06
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Scholars Knowledge Map Construction and Analysis Based on CSSCI
Hu Yuanjiao, Wang Hao
Department of Information Management,Nanjing University,Nanjing 210093, China
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Abstract  In order to promote the academic cooperation and development, provide factual basis for the inter-scholar cooperation and obtain analysis conclusion for supporting decision, this paper tries to introduce the Ontology mechanism into the knowledge organization of CSSCI academic resource for organizing concepts related to scholars knowledge map by object-oriented approach, so that to establish scholars knowledge map concept model based on CSSCI. Then the association analysis and knowledge mining are used to discover the potential cooperating probability between scholars and find the related authors who can influence the core authors academically in some discipline field. At the same time the authors group is classified definitely based on the relationship, which can strengthen related field’s research and cooperation, and realize knowledge complement as well as achievement reference and inspiration.
Key wordsCSSCI      Ontology      Knowledge map      Scholar association analysis      Semantic annotation     
Received: 30 January 2011      Published: 05 May 2011



Cite this article:

Hu Yuanjiao, Wang Hao. Scholars Knowledge Map Construction and Analysis Based on CSSCI. New Technology of Library and Information Service, 2011, 27(3): 38-44.

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[1] 南京大学中国社会科学研究评价中心[EB/OL]. [2010-04-02].

[2] 王昊.信息资源网络模型及应用[M].南京: 南京大学出版社,2010.

[3] 金莹,邓三鸿.基于关键词被引聚类的人文社会科学学科分析[J].现代图书情报技术,2006(9):43-48,52.

[4] 金莹,邓三鸿.基于主题聚类的社会科学地图[J].图书情报工作,2007,51(4):104-108.

[5] 王昊,苏新宁.基于本体的CSSCI学术资源网络模型构建及其应用研究[J].情报学报,2010,29(2):331-341.

[6] 林泽斐.本体概念模型构建理论研究综述[J].情报探索,2009(5):30-33.

[7] 凌海云,左志宏,陈兰,等.语义标注元数据及其抽取技术[J].计算机应用研究,2004,21(7):147-149.

[8] Marinica C,Guillet F. Knowledgebased Interactive Postmining of Association Rules Using Ontologies[J]. IEEE Transactions on Knowledge & Data Engineering,2010, 22(6):784-797.

[9] 王昊, 苏新宁. 基于CSSCI本体的学科关联分析[J].现代图书情报技术, 2010(10):10-16.
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