The Framework of Culture Heritage Digital Twin System Based on Semantic Network

Liling Chen, Yicong Song*, Shengfeng Qin, Xiaojing Niu, Liu Yang, Xin Luan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Digital twin (DT), is a widely used technology to manage, monitor and predict data assets for smart services. Cultural heritage (CH) requires an intelligent approach to conservation and promotion. The present intelligent CH frameworks are not able to encompass the full range of CHs and their connections. While the semantic network is suitable for describing information such as CHs with complex and tightly linked data, thus, this paper proposes a culture heritage digital twin (CHDT) system framework incorporating the semantic network to obtain all historical information about CHs, which are used to present and explain CHs. The CHDT system can be applied to tourism, education and entertainment, contributing to the sustainability of CHs. The paper also discusses the steps and methods for creating the CHDT system.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Autonomous and Trusted Vehicles, Scalable Computing and Communications, Digital Twin, Privacy Computing and Data Security, Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PCDS/Metaverse 2023
Place of PublicationPiscataway, NY
PublisherIEEE
Pages213-220
Number of pages8
ISBN (Electronic)9798350319804
ISBN (Print)9798350319811
DOIs
Publication statusPublished - 28 Aug 2023
Event9th IEEE Smart World Congress, SWC 2023 - Portsmouth, United Kingdom
Duration: 28 Aug 202331 Aug 2023

Conference

Conference9th IEEE Smart World Congress, SWC 2023
Country/TerritoryUnited Kingdom
CityPortsmouth
Period28/08/2331/08/23

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