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New Technology of Library and Information Service  2014, Vol. 30 Issue (5): 33-40    DOI: 10.11925/infotech.1003-3513.2014.05.05
KNOWLEDGE ORGANIZATION AND KNOWLEDGE MANAGEMENT Current Issue | Archive | Adv Search |
Study on Optimization Mechanism of Tag Cloud for Knowledge Relation
Bi Qiang1, Zhou Shanshan1, Ma Zhiqiang2, Teng Guangqing2
1 School of Management, Jilin University, Changchun 130022, China;
2 School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China
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Abstract  

[Objective] This article explores the optimization mechanism of tag cloud by the revealing and presenting of relationship of tag cloud in folksonomy. [Context] The traditional mode of knowledge organization of tag cloud in folksonomy is unable to reflect the knowledge relevance between the themes, which restricts the perceived usefulness of tag cloud. [Methods] Through the analysis of attribute on network of user tags and modular processing, tags in cloud are divided into a number of knowledge communities. With the cooperation among the links, the color, font size, tag cloud is optimized from the perspective of knowledge relevance between the themes. [Results] The latent knowledge community is robust, and it is able to show the relationship between knowledge. [Conclusions] Optimization of tag cloud based on knowledge relevance can improve perceived usefulness on multiple granularities, and promote the researching and developing of more scientific and practical tag cloud system.

Key wordsFolksonomy      Knowledge relation      Tag cloud      Related tags      Network analysis     
Received: 23 March 2014      Published: 06 June 2014
:  G350.7  

Cite this article:

Bi Qiang, Zhou Shanshan, Ma Zhiqiang, Teng Guangqing. Study on Optimization Mechanism of Tag Cloud for Knowledge Relation. New Technology of Library and Information Service, 2014, 30(5): 33-40.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2014.05.05     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2014/V30/I5/33

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