Please wait a minute...
New Technology of Library and Information Service  2010, Vol. 26 Issue (3): 27-32    DOI: 10.11925/infotech.1003-3513.2010.03.05
article Current Issue | Archive | Adv Search |
Review on Tag Meaning Disambiguation Methods Based on Web Collaborative Tagging
Dou Yumeng
(Capital Library of China, Beijing 100021, China)
Export: BibTeX | EndNote (RIS)      

This paper concerns on tags of Web collaborative tagging and mainly researches on tag meaning disambiguation methods, which are classified into five types:data mining method, statistical method, knowledge organization tools method, control mechanisms method and visualization components method. The five methods are compared in five aspects of users’ participation, disambiguation occasion, disambiguation property, experiment and application, as well as the development prospect.

Key wordsWeb collaboration tagging      Tag meaning disambiguation      Knowledge management      Clustering      Probabilistic model     
Received: 04 March 2010      Published: 25 March 2010


Corresponding Authors: Dou Yumeng     E-mail:
About author:: Dou Yumeng

Cite this article:

Dou Yumeng. Review on Tag Meaning Disambiguation Methods Based on Web Collaborative Tagging. New Technology of Library and Information Service, 2010, 26(3): 27-32.

URL:     OR

[1] Zauder K, Lazic J L, Zorica M B. Collaborative Tagging Supported Knowledge Discovery[C]. In: Proceedings of the 29th International Conference on Information Technology Interfaces,Cavtat, Croatia.2007: 437-442.
[2] 韩家炜. 数据挖掘: 概念与技术[M]. 北京: 机械工业出版社, 2007: 3-5.
[3] Mika P. Ontologies are Us: A Unified Model of Social Networks and Semantics[J]. Journal of Web Semantics, 2007,5(1): 5-15.
[4] Yeung C M A, Gibbins N, Shadbolt N. Web Search Disambiguation by Collaborative Tagging [EB/OL]. (2008-03-30). [2008-04-24].
[5] Hamasaki M, Matsuo Y, Nishimura T, et al. Ontology Extraction by Collaborative Tagging with Social Networking[EB/OL]. (2008-03-25). [2008-04-24].
[6] Gernmell J, Shepitsen A, Mobasher B, et al. Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering[C]. In: Proceedings of Data Warehousing and Knowledge Discovery. Berlin: Springer-Verlag, 2008:196-205.
[7] Nauman M, Khan S. Using Personalized Web Search for Enhancing Common Sense and Folksonomy Based Intelligent Search Systems[C]. In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence. California: IEEE Press, 2007: 423-426.
[8] 张伟. 基础统计学[M]. 西安: 西北大学出版社, 2003: 5.
[9] Weinberger K, Slaney M, Zwo R. Resolving Tag Ambiguity [EB/OL]. [2008-12-20].
[10] Zhang L, Wu X, Yu Y. Emergent Semantics from Folksonomies:A Quantitative Study[J]. Journal on Data Semantics VI, 2006(6): 168-186.
[11] Lee S S, Yong H S. TagPlus: A Retrieval System Using Synonym Tag in Folksonomy[C]. In: Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering. New York: IEEE Press, 2007: 294-298.
[12] Lee S S, Yong H S.Component Based Approach to Handle Synonym and Polysemy in Folksonomy[C]. In: Proceedings of the 7th IEEE International Conference on Computer and Information Technology. California: IEEE Press, 2007: 200-205.
[14] 王刚. 自动抽取维基百科文本中的语义关系[D]. 上海: 上海交通大学, 2008.
[15] Al-Khalifa H S, Davis H C. FAsTA: A Folksonomy-Based Automatic Metadata Generator [C]. In: Proceedings of 2nd European Conference on Technology Enhanced Learning, Crete, Greece. 2007:414-419.
[16] Sabou M, Gracia J, Angeletou S, et al. Evaluating the Semantic Web:A Task-based Approach[C]. In: Proceedings of Semantic Web. Berlin: Springer-Verlag, 2007:423-437.
[17] Stojanovic L, Stojanovic N, Ma J. An Approach for Combining Ontology Learning and Semantic Tagging in the Ontology Development Process eGovernment Use Case[C]. In: Proceedings of 8th International Conference on Web Information Systems Engineering. Berlin: Springer-Verlag, 2007: 249-260.
[18] Marchetti A, Tesconi M, Ronzanona F, et al. Semkey: A Semantic Collaborative Tagging System [EB/OL]. (2007-03-12). [2008-04-24].
[19] Facetious[EB/OL]. [2008-04-24].
[20] Knowledge Hunter. Faceted Browsing: FAC.ETIO.US[EB/OL]. (2007-01-08). [2009-03-12].
[21] Graph Related Tags[EB/OL]. [2009-03-12].
[22] Graph Related Tags[EB/OL]. [2009-03-12].

[1] Wang Ruolin, Niu Zhendong, Lin Qika, Zhu Yifan, Qiu Ping, Lu Hao, Liu Donglei. Disambiguating Author Names with Embedding Heterogeneous Information and Attentive RNN Clustering Parameters[J]. 数据分析与知识发现, 2021, 5(8): 13-24.
[2] Wang Xiwei,Jia Ruonan,Wei Yanan,Zhang Liu. Clustering User Groups of Public Opinion Events from Multi-dimensional Social Network[J]. 数据分析与知识发现, 2021, 5(6): 25-35.
[3] Lu Linong,Zhu Zhongming,Zhang Wangqiang,Wang Xiaochun. Cross-database Knowledge Integration and Fingerprint of Institutional Repositories with Lingo3G Clustering Algorithm[J]. 数据分析与知识发现, 2021, 5(5): 127-132.
[4] Zhang Mengyao, Zhu Guangli, Zhang Shunxiang, Zhang Biao. Grouping Microblog Users of Trending Topics Based on Sentiment Analysis[J]. 数据分析与知识发现, 2021, 5(2): 43-49.
[5] Li Ming, Li Ying, Zhou Qing, Wang Jun. Analyzing Knowledge Demand and Supply of Community Question Answering with TF-PIDF[J]. 数据分析与知识发现, 2021, 5(2): 106-115.
[6] Ding Hao, Ai Wenhua, Hu Guangwei, Li Shuqing, Suo Wei. A Personalized Recommendation Model with Time Series Fluctuation of User Interest[J]. 数据分析与知识发现, 2021, 5(11): 45-58.
[7] Yang Chen, Chen Xiaohong, Wang Chuhan, Liu Tingting. Recommendation Strategy Based on Users’ Preferences for Fine-Grained Attributes[J]. 数据分析与知识发现, 2021, 5(10): 94-102.
[8] Yu Fengchang,Cheng Qikai,Lu Wei. Locating Academic Literature Figures and Tables with Geometric Object Clustering[J]. 数据分析与知识发现, 2021, 5(1): 140-149.
[9] Wen Pingmei,Ye Zhiwei,Ding Wenjian,Liu Ying,Xu Jian. Developments of Named Entity Disambiguation[J]. 数据分析与知识发现, 2020, 4(9): 15-25.
[10] Wu Jinming,Hou Yuefang,Cui Lei. Automatic Expression of Co-occurrence Clustering Based on Indexing Rules of Medical Subject Headings[J]. 数据分析与知识发现, 2020, 4(9): 133-144.
[11] Xi Yunjiang, Du Diedie, Liao Xiao, Zhang Xuehong. Analyzing & Clustering Enterprise Microblog Users with Supernetwork[J]. 数据分析与知识发现, 2020, 4(8): 107-118.
[12] Yang Xu,Qian Xiaodong. Synchronous Clustering Algorithm for Social Networks Based on Improved Vicsek Model[J]. 数据分析与知识发现, 2020, 4(4): 119-128.
[13] Xiong Huixiang,Li Xiaomin,Li Yueyan. Group Recommendation Based on Attribute Mining of Book Reviews[J]. 数据分析与知识发现, 2020, 4(2/3): 214-222.
[14] Wei Jiaze,Dong Cheng,He Yanqing,Liu Zhihui,Peng Keyun. Detecting News Topics Based on Equalized Paragraph and Sub-topic Vector[J]. 数据分析与知识发现, 2020, 4(10): 70-79.
[15] Huaming Zhao,Li Yu,Qiang Zhou. Determining Best Text Clustering Number with Mean Shift Algorithm[J]. 数据分析与知识发现, 2019, 3(9): 27-35.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938