基于关键词标引的近5年国际数字图书馆研究热点与趋势分析

论文关键词作为论文内容的提炼,具有概括性、关键性、特征性等特点,对关键词进行分析,可以剔除论文内容冗余信息,把握实质,提高效率。文章以2014年—2018年国际图联大会论文关键词为研究对象,设计了基于数字图书馆的学术论文关键词语义标引模型,将关键词按照研究背景、研究领域、研究热点、研究对象几种不同的语义功能对近5年国际图联大会收录的论文关键词进行标注,构建标注数据集,并以此为基础对不同语义功能的关键词进行内容分析,以细粒度地揭示国际图联大会数字图书馆领域的研究热点与研究趋势。

Analysis of Hotspots and Trends of International Digital Library Research in Recent Five Years Based on Keyword Indexing

As the refinement of the content of the thesis, the paper has the characteristics of generality, importance and obvious features. The analysis of keywords can eliminate the redundant information of the paper content, grasp the essence and improve efficiency. This paper takes the key words of IFLA Conference Papers in 2014-2018 as the research object, and designs the keyword semantic indexing model of academic papers based on digital library. The keywords are based on research background, research field, research hotspots and research objects. This paper marks the key words of the papers collected by the IFLA conference in the past five years, constructs an annotated data set, and analyzes the keywords of different semantic functions to reveal the IFLA research hotspots and research trends in the field of libraries.