Research on the construction of smart museum big data model

Zhiming Zhang; Lingling Hu

doi:10.1117/12.2667467

1 March 2023 Research on the construction of smart museum big data model

Zhiming Zhang, Lingling Hu

Proceedings Volume 12588, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2022); 125881D (2023) https://doi.org/10.1117/12.2667467
Event: International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2022), 2022, Chongqing, China

Abstract

The current situation of Museum data is generally faced with common problems such as scattered data resources, lack of high-quality cataloguing and labeling information, and difficult data management, resulting in the phenomenon of low data utilization. It is suggested that the establishment of a special institution to centrally manage Museum data assets, the unified design of Museum big data model, and the improvement of data analysis capability are the three measures to improve the big data capability. Two big data model design methods from technology to business and from business to technology are described. We study the three key points of building the museum big data model. The comprehensive application of the above measures, design methods and technical points can effectively ensure the continuous improvement of the museum's big data capability.

Citation Download Citation

Zhiming Zhang and Lingling Hu "Research on the construction of smart museum big data model", Proc. SPIE 12588, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2022), 125881D (1 March 2023); https://doi.org/10.1117/12.2667467

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