收稿日期: 2014-06-27
修回日期: 2014-08-15
网络出版日期: 2014-09-20
基金资助
本文系国家自然科学基金项目“面向知识创新的科研组织知识社区挖掘——从社会资本角度”（项目编号：71203164）研究成果之一。
Detecting Disciplinary Knowledge Structure Based on Formal Concept Analysis: An Empirical Investigation on Library and Information Science
Received date: 2014-06-27
Revised date: 2014-08-15
Online published: 2014-09-20
刘萍 , 吴琼 . 基于形式概念分析的学科知识结构探测——以图书情报学为例[J]. 图书情报工作, 2014 , 58(18) : 50 -65 . DOI: 10.13266/j.issn.0252-3116.2014.18.009
As a relatively new mathematical theory, formal concept analysis (FCA) provides a new theoretic base for knowledge discovery and data mining. This paper studies the method for detecting knowledge structure by using formal concept analysis, and presents the definition, representation model, and construction method of knowledge structure based on FCA. By analyzing the data of 16 journals in Library and Information Science indexed in SCI or SSCI from 2000 to 2013, this paper explores knowledge structure of Library and Information Science during the new century. The research detects nine major research themes of Library and Information Science, and further identifies the core keywords and authors associated with each theme. Compared with traditional methods for discovering knowledge structure, formal concept analysis method is more objective and can present complex concepts and clear hierarchical layout for detected knowledge structure.
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