Abstract：In allusion to the limitations of current researches of international academic community for UBKD in Folksonomy, a FCA-based UBKD model in Folksonomy is proposed in this paper. The model consists of seven functional modules:problem definition, data acquisition, data preparation, data organization, data mining, knowledge generation and evaluation & feedback. The core idea of the model lists as follows:on the basis of data organization which using the “FU:= (U,T×R, YU)” context, a visual data mining of common knowledge and personalized knowledge for UBKD in Folksonomy based on concept lattice is respectively achieved by the method called “external mapping” and “backtrack”, and finally the user group hierarchy and the single user behavior chain are respectively constructed.
张云中. 利用形式概念分析构建Folksonomy用户行为知识发现模型[J]. 现代图书情报技术, 2012, 28(7): 66-75.
Zhang Yunzhong. Using Formal Concept Analysis to Construct the Model of User Behavior Knowledge Discovery in Folksonomy. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2012.07.11.
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