摘要
随着数字化进程快速推进,各文化机构拥有海量的口述历史档案资源,有必要推进深层次开发和价值挖掘.数字人文技术可优化口述历史档案资源的传统研究过程,面向口述历史档案资源研究的数字人文技术包括资源数据化、数据管理分析、机器学习、资源可视化和资源虚拟化五个维度的功能要素.对口述历史档案资源用户进行Kano问卷调研与Better-Worse系数分析发现,"资源数据化""资源可视化""数据管理分析"所包含的功能要素的需求优先级相对较高,而"机器学习""资源虚拟化"相对靠后.综合李政道图书馆的口述历史档案资源应用实践以及国内外数字人文技术应用现状,面向口述历史档案资源的数字人文应用需求应包括数据化功能、知识组织、知识呈现、知识服务和虚拟化服务五个方面.图2.表7.参考文献40.
Abstract
With the rapid advancement of digitalization,cultural institutions have a vast amount of oral history archives resources,and it is necessary to promote in-depth development and value exploration.Digital humanities technology can optimize the traditional research process of oral history archive resources.Digital humanities technology for the study of oral history archive resources includes five dimensions of functional elements:resource dataization,data management analysis,machine learning,resource visualization,and resource virtualization.The Kano questionnaire survey and Better-Worse coefficient analysis conducted on users of oral historical archive resources found that the demand priority for functional elements included in"resource dataization","resource visualization"and"data management analysis"is relatively high,while that of"machine learning"and"resource virtualization"is relatively low.Based on the application practice of oral historical archives resources in T.D.Lee Library and the current status of digital humanities technology applications at home and abroad,the digital humanities application requirements for oral historical archives resources should include five aspects:dataization function,knowledge organization,knowledge presentation,knowledge service,and virtualization service.2 figs.7 tabs.40 refs.
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