基于科学知识图谱的情报检索前沿研究  

Information Retrieval Frontier Research Based on Mapping Knowledge Domain

作　　者：赵跃民[1] 张锐[1] 王章红[1] 王伟[1] 

机构地区：[1]湖北省科技信息研究院查新检索中心,湖北武汉430071

出　　处：《现代情报》2016年第8期160-167,共8页Journal of Modern Information

摘　　要：情报检索是情报研究工作的前提和核心。本文基于科学知识图谱理论,对近数十年来情报检索的研究做概貌性描述,运用主题词词频分析、聚类分析、共词分析、合著分析等文献计量方法,统计了情报检索领域1956-2015年的103 733篇学术文献,对文献的时间分布、文献主题分布、关键词词频、国家分布、机构分布、作者分布、合著关系等数据进行分析,并通过可视化知识图谱展示了作者合著关系以及主题词和关键词的共现关系。结果表明,情报检索的相关研究正处于快速发展阶段,研究主题明确、地域差距显著,已经形成了一批具有核心影响力的专家学者。本文通过分析情报检索领域的发展脉络,对于情报学领域的学者进一步寻找研究热点、挖掘新的研究问题具有一定的参考意义。Information retrieval is the premise and the core of intelligence research. Based on the theory of mapping knowledge domain,the article reviewed the research progress of information retrieval in recent decades. Applying bibliometrics method such as key words frequency analysis,cluster analysis,co- word analysis,co- author analysis,the article counted 103733 pieces of academic literature in the field of information retrieval from 1956 to 2015. The article took the literature data about time distribution,subject distribution,keywords frequency,regional distribution,research institution distribution,authors distribution and the co- authorship network for analysis. Meanwhile the articles shows the co- authored network and the co- occurrence relations of subject headings and keywords through visual knowledge map. The results showed that Information retrieval research is in rapidly developing stage now. It had the clear researching topics and the significant difference among the regions in the research. The main influential learning leader has formed through the analysis of the development of information retrieval,looking for the research directions and the new hot spots would profit from this article.

关 键 词：科技情报 情报检索 文献计量 知识图谱 前沿 

分 类 号：G254.9[文化科学—图书馆学]