利用形式概念分析构建Folksonomy用户行为知识发现模型

Using Formal Concept Analysis to Construct the Model of User Behavior Knowledge Discovery in Folksonomy

针对当前国际学术界在Folksonomy用户行为知识发现相关研究中出现的问题,提出一种基于形式概念分析的Folksonomy用户行为知识发现模型。该模型共包括问题定义、数据获取、数据准备、数据组织、数据挖掘、知识生成和评估反馈7个功能模块,其核心思路是在基于"FU:=(U,T×R,YU)"形式背景的数据组织基础上,采用外延映射法和回溯法分别实现基于概念格的Folksonomy用户行为共性知识和个性知识的可视化数据挖掘,并分别用Folksonomy用户群层次结构和Folksonomy单用户标记行为链分别作为知识生成方式。

In allusion to the limitations of current researches of international academic community for UBKD in Folkson- omy, a FCA - based UBKD model in Folksonomy is proposed in this paper. The model consists of seven functional mod- ules ： 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.