摘要
folksonomy知识发现已成为解决folksonomy自身语义问题和用户问题的有效途径。针对基于FCA的folk-sonomy知识发现的机理,首先探寻当前基于FCA的folksonomy知识发现研究的不足,进而在剖析基于FCA的folksonomy知识发现要素和要素关系的基础上,用螺旋研究模型揭示基于FCA的folksonomy知识发现的客观规律,最终探寻出基于FCA的folksonomy知识发现的三个核心内容:folksonomy用户行为、folksonomy用户偏好和folksonomy语义关系。
Folksonomy knowledge discovery has become an effective way to solve the semantic problems and user problems in folkson- omy. In allusion to the mechanism of FCA-based folksonomy knowledge discovery, firstly, the lack of current research on FCA-based folksonomy knowledge discovery is summarized. Then on the basis of analyzing the elements of FCA-based folksonomy knowledge discovery and the relationship among them, the spiral evolution model is built to reveal the objective laws of FCA-based folksonomy knowledge discovery. Eventually three core contents of FCA-based folksonomy knowledge discovery are determined, which are folksonomy user behavior, folksonomy user preferences and folksonomy semantic relations.
出处
《图书情报工作》
CSSCI
北大核心
2012年第22期141-147,共7页
Library and Information Service
关键词
形式概念分析
自由分类法
知识发现
螺旋演进模型
formal concept analysis folksonomy knowledge discovery spiral evolution model
