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Conference Paper Huge Content Data Management for Numerous Applications in the Museum
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Authors
Jae-Ho Lee, Chan-Woo Park, Hee-Kwon Kim
Issue Date
2024-07
Citation
International Conference on Ubiquitous and Future Networks (ICUFN) 2024, pp.609-614
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICUFN61752.2024.10625592
Abstract
The digital transformation wave is significantly reshaping museum operations and amplifying the demand for robust data management technologies. As museums grapple with vast amounts of data, efficient solutions are essential to harness cultural heritage information effectively. This paper explores the critical role of data management technology in supporting realistic content creation, preservation, management, and educational endeavors within the museum context. Standardizing cultural heritage digital data, generated across diverse museum departments, emerges as a pivotal step toward successful digital transformation. Our ongoing research centers on developing an AI-based digital heritage platform tailored to traditional cultural artifacts. By establishing comprehensive standards for data creation, transformation, processing, analysis, and visualization, we aim to efficiently manage the substantial data volumes generated by museums.
KSP Keywords
Cultural Heritage Information, Cultural artifacts, Data Management, Data creation, Digital data, Efficient solution, Ongoing research, Robust data, content creation, digital heritage, digital transformation