信息资源管理学报 ›› 2023, Vol. 13 ›› Issue (5): 44-55.doi: 10.13365/j.jirm.2023.05.044

• 专题·文化遗产智慧数据资源建设与服务 • 上一篇    下一篇

多模态文化遗产资源的智慧化服务模式研究——从可获得到可循证和可体验

夏翠娟   

  1. 1.中国人民大学信息资源管理学院,北京,100872; 
    2.上海图书馆,上海,200031
  • 出版日期:2023-09-26 发布日期:2023-10-15
  • 通讯作者: 夏翠娟,博士生,研究员,研究方向为数字人文、数字记忆 、数字学术,Email: xtykc@yeah.net。
  • 基金资助:
    本文系国家社科基金重大项目“文化遗产智慧数据资源建设与服务研究”(21&ZD334)的成果之一。

Intelligent and Smart Service of Multi-model Cultural Heritage Resources: From Available to Evidential and Experiential

Xia Cuijuan   

  1. 1.School of Information Resource Management, Renmin University of China, Beijing,100872; 
    2.Shanghai Library, Shanghai,200031
  • Online:2023-09-26 Published:2023-10-15

摘要: 数智技术的发展正在推动着“数字GLAMs”向“智慧GLAMs”转型,在从数字化到数据化再到智慧化的转换中,GLAMs的文化遗产资源呈现出多媒体、多格式、多粒度的多模态特征。针对GLAMs如何基于多模态的文化遗产资源提供智慧化服务的问题,基于案例分析和文献研究,提炼归纳了文化遗产资源从数字化、数据化到智慧化服务的转换路径。依据资源智慧化程度将文化遗产资源的智慧化服务从低到高归纳总结为三种模式:可获得、可循证和可体验,分别对应三种不同的需求场景,即以资源获得为中心的服务、以数智循证为中心的服务、以交互体验为中心的服务。得出多模态文化遗产资源的智慧化服务,就是要在不同的需求场景中,提前预测并自动适应用户对于不同模态文化遗产资源的需求的结论。

关键词: 数字人文, 数字记忆, 文化遗产资源, 智慧化服务

Abstract: The development of data and intelligence technologies is promoting the transformation from "digital GLAMs" to "smart GLAMs". In the transformation from digitalization to datafication and then to intelligence, the cultural heritage resources of GLAMs show the multi-model characteristics of multimedia, multi-format and multi-granularity. Aiming at the problem of how GLAMs provide intelligent services based on multmodel cultural heritage resources, this paper summarizes the transformation path of cultural heritage resources from digital, data to intelligent services based on case analysis and literature research. According to the low to high degree of resource intelligence, inteligent services can be summarized into three modes: available, evidential and experiential, which correspond to three different demand scenarios: resource-centered services, digital intelligence evidence-based services, and interactive experience-centered services. It is concluded that the intelligent services of multi-model cultural heritage resources are to predict in advance and automatically adapting to users' needs for different modes of cultural heritage resources in different demand scenarios.

Key words: Digital humanities, Digital memory, Cultural heritage resources, Intelligent and smart services

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