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New Technology of Library and Information Service  2014, Vol. 30 Issue (7): 64-70    DOI: 10.11925/infotech.1003-3513.2014.07.09
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Research on Semantic Distance Measurement and Visualization of Tags in Folksonomy
Huang Wei, Gao Junfeng, Li Rui, Zhou Shanshan
School of Management, Jilin University, Changchun 130022, China
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Abstract  

[Objective] The thesis explores the visualization and the measurement method of the tags semantic distance in folk sonomy, and lays foundations for optimizing the navigation algorithm of related tags.[Context] The thesis weakens the "topic drift" in the navigation of related tags and improves the knowledge service performances in folk sonomy websites such as Bib Sonomy by the visualization of the semantic distance.[Methods] The thesis designs an algorithm which helps choose the tested tags sets and measure the semantic distance, and visualizing the final results by a map with threshold value, based on the data in Bib Sonomy.[Results] There exist close semantic tags and distants emantic tags in test set, which affects the topic drift level in the behavior of the related tags navigation.[Conclusions]Semantic visualization method help users to distinguish semantic attributes between the related tags sets, and improve the navigation performances of the tags.

Key wordsFolksonomy      Semantic measurement      Related tags      Social network analysis      Semantic visualization     
Received: 03 March 2014      Published: 20 October 2014
:  G250  

Cite this article:

Huang Wei, Gao Junfeng, Li Rui, Zhou Shanshan. Research on Semantic Distance Measurement and Visualization of Tags in Folksonomy. New Technology of Library and Information Service, 2014, 30(7): 64-70.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2014.07.09     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2014/V30/I7/64

[1] Li P, Wang B, Jin W, et al. User-Related Tag Expansion for Web Document Clustering[C]. In: Proceedings of the 33rd European Conference on Advances in Information Retrieval. 2011: 19-31.
[2] 斯坦利. 沃瑟曼, 凯瑟琳. 福特斯. 社会网络分析: 方法与应用[M]. 陈禹, 孙彩虹译. 北京: 中国人民大学出版社, 2011: 188-195. (Wasserman S, Faust K. Social Network Analysis: Methods and Applications[M]. Translated by Chen Yu, Sun Caihong. Beijing: China Renmin University Press Co., LTD, 2011: 188-195.)
[3] Tsui E, Wang W M, Cheung C F, et al. A Concept-relationship Acquisition and Inference Approach for Hierarchical Taxonomy Construction from Tags[J]. Information Processing & Management, 2010, 46 (1): 44-57.
[4] Laniado D, Eynard D, Colombetti M. Using WordNet to Turn a Folksonomy into a Hierarchy of Concepts[C]. In: Proceedings of Semantic Web Application and Perspectives- 4th Italian Semantic Web Workshop. 2007: 192-201.
[5] 滕广青, 毕强, 高娅. 基于概念格的 Folksonomy 知识组织研究——关联标签的结构特征分析[J]. 现代图书情报技术, 2012(6): 22-28. (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] .New Technology of Library and Information Service, 2012(6): 22-28.)
[6] Schenkel R, Crecelius T, Kacimi M, et al. Efficient Top-k Querying over Social Tagging Networks[C]. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 2008: 523-530.
[7] 张云中, 杨萌, 徐宝祥. 基于 FCA 的 Folksonomy 用户偏好挖掘研究[J]. 现代图书情报技术, 2011(6): 72-77. (Zhang Yunzhong, Yang Meng, Xu Baoxiang.Research on FCA-based User Profile Mining for Folksonomy[J]. New
Technology of Library and Information Service, 2011(6): 72-77.)

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