A scene-based spatiotemporal data model of immovable cultural relics

Jun Shi, Di Hu (), Zongxiang Zhang, Guonian Lü, Paul Longley and Qianying Zhao
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Jun Shi: China Grand Canal Museum
Di Hu: Nanjing Normal University
Zongxiang Zhang: Nanjing Normal University
Guonian Lü: Nanjing Normal University
Paul Longley: University College London
Qianying Zhao: Nanjing Normal University

Palgrave Communications, 2025, vol. 12, issue 1, 1-14

Abstract: Abstract The quality of cultural relic database design is crucial for realizing the value of cultural relic data. Currently, many databases of immovable cultural relics (ICRs) include information on various aspects of ICR from different perspectives. However, there is insufficient comprehensiveness and completeness in the expression of this information. In this study, considering the characteristics and application requirements of ICR information, a geographic scene-based spatiotemporal data model of ICRs is designed, and a case database is constructed for validation. The results show that this data model can be used to organize ICRs and associated environmental information comprehensively and effectively, and to enrich the content and data associations of ICR database. This approach supports interactive queries and spatiotemporal analysis of ICRs and environmental information, thus playing a significant role in facilitating the management, scientific research, development and utilization of ICRs.

Date: 2025
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DOI: 10.1057/s41599-025-04934-5

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