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作 者:李怡锐 Li Yirui(National Library of China)
机构地区:[1]国家图书馆
出 处:《信息与管理研究》2024年第4期51-64,共14页Journal of Information and Management
摘 要:文献的目次、摘要、作者简介、封面等内容要素是实现数据关联、智能推荐等智慧化功能的数据基础。图书馆书目数据对这些内容未充分揭示,不利于实现查找、识别等用户任务。在对相关编目字段著录方式及MARC21到BIBFRAME数据转换讨论的基础上,选取全球13家图书馆作为调研主体,以电商平台和出版社网站为参照对象,以文献资源管理系统、检索工具、目次、摘要、作者简介和封面为重点进行数据调研,对比分析不同图书馆书目数据内容增强揭示效果。调研表明,图书馆应重视揭示书目数据的目次、摘要、作者简介和封面,发挥图书馆获取文献资源目次、摘要等内容使用权的引领作用,应用辅助工具降低编目成本,改进图书馆检索工具显示等功能。The content elements such as the table of contents,abstract,author introduction,and cover of the document are the data basis for realizing intelligent functions such as linked data and intelligent recommendation.Library bibliographic data does not fully reveal these contents,which is not conducive to the realization of user tasks such as search and identification.Thirteen libraries around the world were selected as the main body of the survey,and the data research was carried out with e-commerce platforms and publisher websites as the reference objects,focusing on the library management system,search tool,table of contents,abstract,author introduction and cover,compared and analyzed the revealing effect of bibliographic data content enhancement in different libraries.The survey shows that libraries should pay attention to reveal the table of contents,abstract,author introduction,and cover of bibliographic data,give full play to the leading role of libraries in obtaining the right to use content such as the table of contents and abstracts of literature resources,apply auxiliary tools to reduce cataloging costs,and improve the display of library search tools.
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