国内图情领域区块链研究热点与展望被引量：4

Research Hot Spots and Prospects of Domestic Block-Chain in the Area of Library and Information

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摘要【目的/意义】以主题聚类的方法揭示国内图情领域区块链研究热点,为区块链在图情领域的研究工作提供参考。【方法/过程】利用中国知网数据库检索区块链在图情领域应用的全部期刊论文、会议论文与学位论文,提取了470个关键词,并利用杰卡德系数计算文献的相似程度,形成10个主题聚类,之后利用IG(信息增益法)计算所有关键词在主题聚类中的重要程度,通过前10位核心关键词阐述各主题聚类中研究论文的主要研究内容,并通过主题聚类下的年度发文趋势分析区块链在图情领域未来的发展趋势。【结果/结论】文章共提取出区块链技术、智慧图书馆、资源建设、信息服务、阅读推广、隐私保护、借阅服务、科学数据、版权保护、情报分析十大主题聚类,并将其归纳出包含基础层、技术层、应用层、拓展层的研究框架,分析了未来研究趋势将更加集中于情报分析、智慧图书馆、阅读推广、科学数据、版权保护、隐私保护六大主题中。【创新/局限】对研究主题的分析还可以采用更多的视角进行分析,如知识图谱等。【Purpose/significance】The topic clustering method is used to reveal the research hot spots of domestic block-chain,so as to provide reference for the research work of block-chain in the Area of Library and Information.【Method/process】The article takes papers on the subject of block-chain in library and information recruited by the database CNKI as the data source,extracted 470 keywords,and then using Jaccard coefficient the similarity of literature to formed 10 Topic clusters,using information gain method calculated the contribution of each key word in topic clustering.Through the top 10 core keywords,this paper expounds the main research contents of the research papers in each topic clustering,and analyzes the future development trend of block-chain in the field of library and information through the annual document trend under topic clustering.【Result/conclusion】This paper proposes 10 topic clusters of block-chain technology,smart library,resource construction,information service,reading promotion,privacy protection,borrowing service,scientific data,copyright protection and information analysis,summarizes them into a research framework including basic layer,technology layer,application layer and extension layer,and analyzes that the future research trend will focus more on information analysis,smart library,reading promotion,scientific data,copyright protection and privacy protection.【Innovation/limitation】More perspectives can be adopted for the analysis of research topics,such as knowledge graph.

作者张蕴娣于宁赵闯 ZHANG Yun-di;YU Ning;ZHAO Chuang(Library of Changchun Institute of Technology,Changchun 130012,China;Library of Tsinghua University,Beijing 100084,China)

机构地区长春工程学院图书馆清华大学图书馆

出处《情报科学》 CSSCI 北大核心 2022年第10期187-192,共6页 Information Science

关键词区块链技术主题聚类研究热点研究展望图情领域 block-chain topic clustering research hot spots research prospect Area of Library and Information

分类号 G353.1 [文化科学—情报学] G259.2 [文化科学—图书馆学]

作者简介张蕴娣(1968-),女,吉林东辽人,硕士,副研究馆员,主要从事图书馆管理、智慧图书馆研究;于宁(1982-),女,内蒙古包头人,硕士,馆员,主要从事文献资源建设研究;赵闯(1985-),女,吉林通榆人,硕士,副研究馆员,主要从事信息服务、学科服务研究。