Please wait a minute...
New Technology of Library and Information Service  2011, Vol. 27 Issue (6): 72-78    DOI: 10.11925/infotech.1003-3513.2011.06.12
Current Issue | Archive | Adv Search |
Research on FCA-based User Profile Mining for Folksonomy
Zhang Yunzhong, Yang Meng, Xu Baoxiang
School of Management, Jilin University, Changchun 130022, China
Export: BibTeX | EndNote (RIS)      
Abstract  Aiming at the major defects of current folksonomy user profile mining methods such as mining user profile on the basis of binary relation, focus on the user profile of single-user rather than user groups, and focus on the static user profile but neglect the dynamic changes over time etc, a new FCA-based user profile mining methods for folksonomy is proposed. By means of constructing folksonomy multi-valued formal context and single-valued formal context, the user behaviors, user preferences and their transfer for folksonomy are analyzed based on the visual concept lattice which converts from formal context. The model provides a new idea for getting the user profile in folksonomy system.
Key wordsFCA      Folksonomy      User profile     
Received: 01 March 2011      Published: 15 August 2011



Cite this article:

Zhang Yunzhong, Yang Meng, Xu Baoxiang. Research on FCA-based User Profile Mining for Folksonomy. New Technology of Library and Information Service, 2011, 27(6): 72-78.

URL:     OR

[1] Sturtz D N.Communal Categorization: The Folksonomy[EB/OL].(2004-12-16).[2010-10-13].

[2] 熊回香,王学东. 面向Web3. 0的分众分类研究[J].图书情报工作,2010,54(3):104-107.

[3] 王翠英. 基于Folksonomy的用户偏好研究进展[J].现代图书情报技术,2009(6):37-43.

[4] Ramanathan K, Giraudi J, Gupta A. Creating Hierarchical User Profiles Using Wikipedia [EB/OL]. (2008-10-06). [ 2010-11-22 ].

[5] Au Yeung C M, Gibbins N, Shadbolt N. A Study of User Profile Generation from Folksonomies[EB/OL].(2008-04-25).[2010-10-15].

[6] Godoy D, Amandi A. Hybrid Content and Tag-based Profiles for Recommendation in Collaborative Tagging Systems[EB/OL]. [2010-10-13].

[7] Zhang Y, Feng B. Tag-based User Modeling Using Formal Concept Analysis[C]. In: Proceedings of the 8th IEEE International Conference on Computer and Information Technology. Sydney:IEEE, 2008: 485-490.

[8] Ganter B, Wille R. 形式概念分析[M]. 马垣,张学东, 迟呈英,等译. 北京:科学出版社,2007:15-46.

[9] Jäschke R, Hotho A, Schmitz C, et al. Discovering Shared Conceptualizations in Folksonomies[J].Web Semantics: Science, Services and Agents on the World Wide Web,2008,6(1): 38-53.

[10] Kim H G, Hwang S H, Kang Y K, et al. An Agent Environment for Contextualizing Folksonomies in a Triadic Context[EB/OL]. [2010-10-13]. 71118w3.

[11] Kang Y K, Hwang S H, Kang Y K,et al. Development of a FCA Tool for Building Conceptual Hierarchy of Clinical Data[J].Journal of the Korean Society of Medical Informatics,2005, 11(S2):71-76.
[1] Feng Wengang,Jiang Zhaofeifan. Improving Security Checks and Passenger Risk Evaluation with Classification of Airline Passengers[J]. 数据分析与知识发现, 2020, 4(12): 105-119.
[2] Guangshang Gao. A Survey of User Profiles Methods[J]. 数据分析与知识发现, 2019, 3(3): 25-35.
[3] Jing Xie,Li Qian,Hongbo Shi,Beibei Kong,Jiying Hu. Designing Framework for Precise Service of Scholarly Big Data[J]. 数据分析与知识发现, 2019, 3(1): 63-71.
[4] Pang Beibei,Gou Juanqiong,Mu Wenxin. Extracting Topics and Their Relationship from College Student Mentoring[J]. 数据分析与知识发现, 2018, 2(6): 92-101.
[5] Huang Wei, Gao Junfeng, Li Rui, Zhou Shanshan. Research on Semantic Distance Measurement and Visualization of Tags in Folksonomy[J]. 现代图书情报技术, 2014, 30(7): 64-70.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] Teng Guangqing, Bi Datian, Ren Jing, Chen Xiaomei. Study on Semantic Closeness of User Tags in Folksonomy[J]. 现代图书情报技术, 2013, (12): 48-54.
[12] 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.
[13] 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.
[14] Liu Ping, Hu Yuehong. Development of Domain Ontology in Information Science Based on FCA and Association Rules[J]. 现代图书情报技术, 2012, 28(2): 34-40.
[15] 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.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938