国内外图书情报领域信息聚合的发展趋势分析  

Trend Analysis of Information Aggregation Development in the Field of Library &Information Science at Home and Abroad

作　　者：曹树金[1] 王连喜[1] 王志红[1] 

机构地区：[1]中山大学资讯管理学院,广州510006

出　　处：《图书情报知识》2018年第4期79-90,共12页Documentation,Information & Knowledge

基　　金：国家社会科学基金重大项目"基于特定领域的网络资源知识组织与导航机制研究"(12&ZD222);国家社会科学基金青年项目"东盟涉华舆情的观点挖掘及信息聚合研究"(17CTQ045)的成果之一

摘　　要：信息聚合已经发展成为众多学科领域的研究热点,但是当前研究并未对其给出清晰、规范、统一的概念描述及内涵界定。文章首先从学科视角对计算机科学、经济管理学和图书情报学中关于信息聚合的概念、应用范围、实践手段等进行比较和分析,明确图书情报领域信息聚合的基本内涵及其相近术语表达。然后,分别选取2007—2016年间SSCI和CSSCI中图书情报领域以信息聚合为主题的文献作为研究对象,在提出一种新的关键词权重计算和新兴主题识别方法的基础上,结合相对文献增长率和多维尺度分析方法对文献增长趋势、研究主题分布特点和新兴主题发展趋势等进行对比分析和可视化展示。研究表明,当前国内外图书情报领域信息聚合研究在应用领域发展路径、新兴主题变化趋势、重要研究主题分布以及所涉及的研究方法或技术等方面都具有相似的变化规律和发展趋势。最后,总结当前国内外图书情报领域信息聚合的研究特点,从学科、方法、主题等维度对该领域的未来发展趋势进行展望。Information aggregation has become an academic hotspot in many fields, but the definition of its concept and connotation seems to be unclear and vague. Firstly, this paper conducts comparison and analysis on the concepts, practical technologies and applications of information aggregation from the perspective of computer science, economic management and library ＆ information science （LIS）, and illuminates the connation and terminology in the field of library and information science. Secondly, this paper selects the literatures of information aggregation in LIS from Social Science Citation Index （SS- CI） and China Social Science Citation Index （CSSCI） as research objects. By proposing a new method of emerging topics and considering relative growth rate and multidimensional scaling, comparative analysis and visualization of literature growth trend, research topic distribution and emerging topic development trends have been achieved. The results show that there have been similar changes and trends in developing route of applicable field, changing trend of new theme, distribution of im- portant research topics and research method and technology of information aggregation in LIS both at home and abroad. Final- ly, this study summarizes the research characteristics of information aggregation in LIS, and proposes some prediction of de- veloping trends of LIS from the aspects of discipline, method and theme.

关 键 词：信息聚合 关键词权重计算 新兴主题识别 图书情报领域 

分 类 号：G250[文化科学—图书馆学]