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

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.