基于语义分类的同行评议专家科学范式识别方法实证研究  

An Empirical Study on the Identification of Scientific Paradigm of Peer Review Experts Based on Semantic Classification

作　　者：朱伟珠[1] 

机构地区：[1]天津理工大学图书馆

出　　处：《图书馆理论与实践》2018年第2期42-47,共6页Library Theory and Practice

基　　金：天津市艺术科学规划项目"京津冀一体化视角下公共图书馆协同创新发展研究"(项目编号:D16044)的研究成果之一

摘　　要：根据关键词语义间的关系对关键词进行分类,并基于Fast Unfolding社区发现算法构建语义分类的知识网络,识别具有语义特征的图情学科领域的科学范式。在语义分类的基础上,进一步构建基于专家—关键词的知识网络,识别同行评议专家的科学范式,同时比较分析了不同科学共同体使用科学概念的差异性。通过对图情学科领域专家及其科研文献数据的实证分析,证明了这种语义分类的科学范式识别方法的可行性和有效性。This article puts forward an identification method of scientific paradigm based on semantic classification. Firstly, the article classifies keywords according do their semantic relationships. Then, a knowledge network of semantic classification is constructed. By using the fast unfolding community discovery algorithm, the article detects the semantic features of scientific paradigm in the LIS research field. Finally, in order to identify the scientific paradigm of peer review experts, the article constructs a knowledge network of the expert-keyword through word frequency analysis method. The differences of different scientific conceptions are also compared. The feasibility and effectiveness of the methods are proved according to the empirical analysis of literature data and experts in the LIS research field.

关 键 词：同行评议专家 科学范式 语义分类 社区发现算法 

分 类 号：G252[文化科学—图书馆学] G30