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New Technology of Library and Information Service  2012, Vol. 28 Issue (4): 35-40    DOI: 10.11925/infotech.1003-3513.2012.04.06
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Mapping the Themes of Information Retrieval Based on Prefuse and Hierarchical Clustering
Xiao Ming1, Li Wenchao1, Xia Qiuju2
1. School of Management, Beijing Normal University, Beijing 100875, China;
2. Shanghai University of Engineering Science Library, Shanghai 201620, China
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Abstract  In this paper, a thematic knowledge map framework using Prefuse is designed. Through the co-word analysis, hierarchical clustering and TreeML file conversion, the themes of information retrieval based on the framework are mapped. Finally, information retrieval research is divided into five themes: intelligent information processing, search engines related, user behavior, information system research and content-based information retrieval.
Key wordsPrefuse      Hierarchical clustering      Information retrieval      Theme study     
Received: 18 February 2012      Published: 20 May 2012
: 

G350 TP311

 

Cite this article:

Xiao Ming, Li Wenchao, Xia Qiuju. Mapping the Themes of Information Retrieval Based on Prefuse and Hierarchical Clustering. New Technology of Library and Information Service, 2012, 28(4): 35-40.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2012.04.06     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2012/V28/I4/35

[1] Ding Y, Chowdhury G G, Foo S. Journal as Markers of Intellectual Space: Journal Co-Citation Analsis of Information Retrieval Area, 1987-1997[J]. Scientometrics, 2000, 47(1):55-73.

[2] Rorissa A, Yuan X J. Visualizing and Mapping the Intellectual Structure of Information Retrieval[J]. Information Processing & Management, 2012, 48(1): 120-135.

[3] 张小娣,宋余庆. 基于科学知识图谱的搜索引擎前沿分析[J]. 科技管理研究 , 2011(18): 226-230.(Zhang Xiaodi,Song Yu-qing. The Front Analysis of Search Engine Based on the Scientific Knowledge Map[J]. Science and Technology Management Research,2011(18):226-230.)

[4] 赵蓉英,陈瑞. 跨语言信息检索的知识图谱研究[J]. 情报理论与实践 ,2011,34(10): 96-100. (Zhao Rongying,Chen Rui.The Knowledge Map Study of Cross-Language Information Retrieval[J]. Information Studies:Theory & Application,2011,34(10):96-100.)

[5] Heer J, Card S K, Landay J A. Prefuse: A Tookit for Interactive Information Visualization[C].In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems(CHI'2005), Portland.2005.

[6] Prefuse Introduction[EB/OL].[2012-02-25]. http://prefuse.org/doc/manual/introduction/.

[7] Goldstein D R, Ghosh D, Conlon E M. Statistical Issues in the Clustering of Gene Expression Data[J]. Statistica Sinica, 2002, 12: 219-240.

[8] 王知津,蒋伟伟. 十五年来我国网络信息检索研究述评[J]. 情报科学 ,2004,22(4):385-389.(Wang Zhijin,Jiang Weiwei.The Review of Study on Network Information Retrieval in China[J].Information Science,2004,22(4):385-389.)

[9] 王智红,潘晓丽,吴晓鸥. 近十年来我国网络信息检索研究主题分析[J]. 情报杂志 , 2009,28(7):1-6.(Wang Zhihong,Pan Xiaoli,Wu Xiaou. The Thematic Study of China Network Information Retrieval in the Last Decade[J]. Journal of Intelligence,2009,28(7):1-6.)

[10] Card S K, Nation D. Degree-of-Interest Trees: A Component of an Attention-Reactive User Interface[C]. In:Proceedings of the Working Conference on Advanced Visual Interfaces.2002.

[11] Budiu R, Pirolli P,Fleetwood M. Navigation in Degree of Interest Trees[C].In: Proceedings of the Working Conference on Advanced Visual Interfaces(AVI '06).2006.

[12] Prefuse User's Manual[EB/OL].[2012-02-25]. http://prefuse.org/doc/manual/.
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