Development of an Artificial Intelligence-based Platform for the Analysis and Utilization of Cultural Heritage Data

Abstract. This research presents the development of an AI-powered digital cultural heritage platform designed to address the growing need for efficient management, analysis, and utilization of traditional cultural assets in the era of rapid digital transformation. The platform integrates a digital archive, data-driven AI analysis modules, generative AI techniques for content enrichment, and an operational environment for demonstration and deployment. It supports the stable storage and intelligent processing of diverse cultural heritage data. A notable feature is the implementation of an AI-based relational analysis model that captures the complex metadata and structural relationships inherent in cultural heritage objects, enabling the automatic identification and visualization of meaningful semantic connections. The platform also incorporates dedicated viewers—such as RTI, Giga Pixel, GLB, and NXG—offering intuitive access to ultra-high-resolution and 3D representations of cultural objects. This multifaceted system supports a wide range of applications in education, academic research, and exhibition contexts, demonstrating its versatility and strong potential for practical implementation across public and scholarly domains.

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Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2025-09-23
DOI
https://doi.org/10.5194/isprs-annals-x-m-2-2025-39-2025
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of an Artificial Intelligence-based Platform for the Analysis and Utilization of Cultural Heritage Data

Hee‐Kwon Kim, Jaeho Lee, Chan-Woo Park, Seungju Baek et al.
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
3D Surveying and Cultural Heritage
article

Development of an Artificial Intelligence-based Platform for the Analysis and Utilization of Cultural Heritage Data

Hee‐Kwon Kim, Jaeho Lee, Chan-Woo Park, Seungju Baek, Hyerin Hwang
article en

Abstract

Abstract. This research presents the development of an AI-powered digital cultural heritage platform designed to address the growing need for efficient management, analysis, and utilization of traditional cultural assets in the era of rapid digital transformation. The platform integrates a digital archive, data-driven AI analysis modules, generative AI techniques for content enrichment, and an operational environment for demonstration and deployment. It supports the stable storage and intelligent processing of diverse cultural heritage data. A notable feature is the implementation of an AI-based relational analysis model that captures the complex metadata and structural relationships inherent in cultural heritage objects, enabling the automatic identification and visualization of meaningful semantic connections. The platform also incorporates dedicated viewers—such as RTI, Giga Pixel, GLB, and NXG—offering intuitive access to ultra-high-resolution and 3D representations of cultural objects. This multifaceted system supports a wide range of applications in education, academic research, and exhibition contexts, demonstrating its versatility and strong potential for practical implementation across public and scholarly domains.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. X-M-2-2025
Electronics and Telecommunications Research Institute (KR)
Ministry of Culture, Sports and Tourism, Korea Creative Content Agency
Openalex Percentile: Top 65%
3D Surveying and Cultural Heritage
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