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New Technology of Library and Information Service  2013, Vol. Issue (12): 48-54    DOI: 10.11925/infotech.1003-3513.2013.12.08
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Study on Semantic Closeness of User Tags in Folksonomy
Teng Guangqing1, Bi Datian2, Ren Jing3, Chen Xiaomei2
1. School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China;
2. School of Management, Jilin University, Changchun 130024, China;
3. Library of Changchun University of Chinese Medicine, Changchun 130117, China
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Abstract  This article constructs user tags network based on the relationship between the user tags with technology of complex network analysis.By calculation and analysis of closeness centrality index in user tags network, the conclusion is derived that the degree of semantic closeness among user tags in folksonomy comes close to the free and loose characteristics of random network at the individual level, but higher degree of semantic closeness closes to the domain Ontology on the semantic relationship of whole network.
Key wordsFolksonomy      User tags network      Semantic closeness      Closeness centrality     
Received: 15 July 2013      Published: 08 January 2014
: 

G350.7

 

Cite this article:

Teng Guangqing, Bi Datian, Ren Jing, Chen Xiaomei. Study on Semantic Closeness of User Tags in Folksonomy. New Technology of Library and Information Service, 2013, (12): 48-54.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2013.12.08     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2013/V/I12/48

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[2] Yang Ruyi, Liu Dongsu. A Research on Visualization Algorithm of Hierarchy Information Based on Folksonomy[J]. 现代图书情报技术, 2014, 30(7): 71-76.
[3] Bi Qiang, Zhou Shanshan, Ma Zhiqiang, Teng Guangqing. Study on Optimization Mechanism of Tag Cloud for Knowledge Relation[J]. 现代图书情报技术, 2014, 30(5): 33-40.
[4] Luo Lin, Liang Guisheng, Cai Jun. Book Recommendation System Based on Folksonomy in Library[J]. 现代图书情报技术, 2014, 30(4): 14-19.
[5] Yu Bengong, Gu Jiawei. Information Organization and Representation Based on Folksonomy and RDF[J]. 现代图书情报技术, 2014, 30(11): 24-30.
[6] Bi Qiang, Wang Yu. Fronts and Hotspots of the Application Research on Folksonomy Abroad[J]. 现代图书情报技术, 2013, 29(7/8): 36-42.
[7] Zhang Yunzhong. Using Formal Concept Analysis to Construct the Model of User Behavior Knowledge Discovery in Folksonomy[J]. 现代图书情报技术, 2012, 28(7): 66-75.
[8] Teng Guangqing, Bi Qiang, Gao Ya. A Study on Knowledge Organization of Folksonomy Based on Concept Lattice: Analysis on Structural Characteristics of Related Tags[J]. 现代图书情报技术, 2012, 28(6): 22-28.
[9] Zhang Yunzhong, Yang Meng, Xu Baoxiang. Research on FCA-based User Profile Mining for Folksonomy[J]. 现代图书情报技术, 2011, 27(6): 72-78.
[10] He Jiyuan, Dou Yongxiang, Liu Dongsu. Survey of Ontology-based Semantic Retrieval in Folksonomy[J]. 现代图书情报技术, 2011, 27(3): 51-56.
[11] Zhang Yunzhong. A New Ontology Construction Method Based on FCA and Folksonomy[J]. 现代图书情报技术, 2011, 27(12): 15-23.
[12] Dou Yongxiang,Su Shanjia,Yang Meijiao,Chen Lixia. Study of Semantic Retrieval System Model Based on Folksonomy in P2P Networks>[J]. 现代图书情报技术, 2010, 26(2): 50-55.
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[14] Wang Cuiying. Study on Folksonomies-based User Profiles Mining[J]. 现代图书情报技术, 2009, 25(6): 37-43.
[15] Hak Lae Kim, Simon Scerri, John G.Breslin, Stefan Decker, Hong Gee Kim. The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies[J]. 现代图书情报技术, 2009, 3(3): 30-37.
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