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促进数据、信息和知识融通——2020年JCDL年会论文综述
引用本文:吕思妤,吴丹.促进数据、信息和知识融通——2020年JCDL年会论文综述[J].图书情报知识,2021(2):110-120.
作者姓名:吕思妤  吴丹
作者单位:武汉大学信息管理学院;武汉大学人机交互与用户行为研究中心
基金项目:武汉大学“人工智能问题”融通研究专项“人工智能背景下APP隐私政策及用户信任研究”(2020AI020)的研究成果之一。
摘    要:目的/意义]通过对2020年国际数字图书馆联合会议(Joint Conference on Digital Libraries,JCDL)的录用论文进行整体回顾,梳理与分析当下数字图书馆的研究内容与研究发现,为我国相关领域学者把握学科前沿提供参考。研究设计/方法]采用文献综述法,对本届年会论文所反映的研究热点与前沿进行归纳总结与提炼。结论/发现]本届年会覆盖研究主题广泛,呈现出与数据科学协同合作的趋势,聚焦于用户信息活动的探索、未来图书馆的建设、细粒度化与精准化智慧服务的提供等方面,具有较明显的跨学科特性,且在新型冠状病毒肺炎的公共卫生危机下更加关注生物医学信息学的价值。创新/价值]揭示了当前图书情报与信息科学的研究热点与趋势。

关 键 词:国际数字图书馆联合会议  数字图书馆  图书情报学  数据科学  用户研究

Promoting the Integration of Data,Information and Knowledge:Literature Review on the JCDL 2020
LYU Siyu,WU Dan.Promoting the Integration of Data,Information and Knowledge:Literature Review on the JCDL 2020[J].Document,Information & Knowledge,2021(2):110-120.
Authors:LYU Siyu  WU Dan
Abstract:Purpose/Significance]By reviewing the proceedings papers of the Joint Conference on Digital Libraries(JCDL)in 2020,this paper aims to sort out and analyze current research contents and findings of digital library,and provide reference for Chinese scholars in relevant fields to grasp the disciplinary frontiers.Design/Methodology]By using the method of literature review,this paper summarized and refined the research hotspots and frontiers reflected in the papers of this annual meeting.Findings/Conclusion]JCDL 2020 covers a wide range of research topics and presents a characteristics of collaborating with data science.It focuses on the exploration of users’information behavior,construction of future libraries,as well as fine-grained and precise library services.It also possesses a cross-disciplinary characteristic.Due to the public health crisis caused by COVID-19,more attention is paid to the value of biomedical informatics.Originality/Value]Current hotspots and trends of library and information science research have been revealed.
Keywords:Joint Conference on Digital Libraries(JCDL)  Digital library  Library and information science  Data science  Research on users
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