知识重组与场景再构:面向数字资源管理的元宇宙

Knowledge Reorganization and Scene Reconstruction:A Metaverse for Digital Resources Management

[目的/意义]对元宇宙背景下数字资源管理的应用场景、技术路径与潜在风险进行探讨,以期为数字资源多模态融合、可视呈现、交互操作、版权管理、价值转化等流程提供借鉴参考。[研究设计/方法]结合元宇宙的时空延展性、人机融合性、经济增值性,基于数字孪生、拓展现实、区块链等技术底座,从多源聚类、资源标引、知识重组、发布共享和交互操作等环节,通过质性分析方法探索元宇宙与数字资源管理的融合可能性。[结论/发现]元宇宙与数字资源管理的融合应用可分为数字孪生、虚拟原生和虚实相融三大阶段,其中基于语义本体的多模态知识重组、基于知识图谱与事理图谱的孪生化场景构建、基于虚实界面的人机交互操作和基于NFR/NFT的虚实价值转化是四大关键环节。[创新/价值]从元宇宙技术发展和组织特性出发,结合数字资源管理的关键环节,梳理了技术融合点和潜在应用场景,为相关图情机构数据化、虚拟化、智慧化转型提供了参考。

[Purpose/Significance]This paper discusses the application scenarios, technical paths and potential risks of digital resources management under the background of metaverse, which intends to provide reference for the processes of multi-modal integration,visual presentation, interactive operation, copyright management and value transformation of digital resources.[Design/Methodology]Combined with the space-time ductility, human-computer integration and economic enhancement of metaverse, based on the technical foundation of digital twin, expanded reality(VR/AR/MR)and blockchain, this study explored the integration possibility of metaverse with digital resources management through qualitative analysis from the aspects of multi-source clustering, resource indexing, knowledge reorganization, release sharing and interactive operation.[Findings/Conclusion]The integrated application of metaverse and digital resources management can be divided into three stages, including digital twin, virtual primitiveness and virtual-realintegration. Among them, multi-modal knowledge reorganization based on semantic ontology, twin-scene construction based on knowledge graph and event logical graph, human-computer interaction based on virtual-real interface, and virtual-real value transformation based on NFR/NFT are the four keypoints.[Originality/Value]According to the development of metaverse technologies and organizational characteristics, combined with the critical points of digital resources management, this paper proposes the technology integration points and potential application scenarios, which could provide a reference for the digitization, virtualization and intellectualization transformation of relevant information institutions in China.