摘要
以CNKI真实数据集为研究对象,通过共引文献统计功能得出一个文献耦合网络。首先采用形式概念分析的方法构建耦合文献形式背景,其次对耦合网络中的知识载体与知识属性剥离解析,而后探寻知识概念的偏序关系,进而建立耦合文献概念格。经由知识聚类、关联规则挖掘等一系列格上作业,可视化地勾勒出文献耦合网络的知识结构以及知识属性之间的组分异质性规律,探索概念格技术与引文分析方法的融合机制。
In this paper,we choose CNKI real data set as research object,and present a bibliographic coupling network with the statistics function of co-citation bibliographic.Firstly,formal concept analysis is used to construct coupling bibliographic formal background.Secondly,we analyze knowledge carrier and knowledge attribute in coupling network seperately.Thirdly,We detect partial order relation of knowledge concept and set up coupling bibliographic concept lattice.Through a series of lattice assignment such as knowledge clustering and association rule mining,knowledge structure of bibliographic coupling network and heterogeneity between knowledge attribute can be outlined visually,and then the fusion mechanism between concept lattice technique and citation analysis method is explored.
出处
《图书馆学研究》
CSSCI
2015年第5期2-8,共7页
Research on Library Science
基金
吉林省社会科学基金项目"基于概念格的数字图书馆知识服务方法研究(项目编号:2014B62)"的研究成果之一
关键词
文献耦合
概念格
知识聚类
知识关联
可视化
bibliographic coupling concept lattice knowledge clustering knowledge linkage visualization
