Research on Digital Cultural Heritage Expansion Using AI Technology

Chan-Woo Park, Hee-Kwon KIM, Jae-Ho Lee

Abstract: Since the early 2000s, the digital transformation of the National Museum of Korea has led to the creation of numerous digital data related to artifacts. When the initial digital cultural heritage data began to be accumulated, the focus was on ‘recording’ rather than ‘public disclosure’, so the data disclosed to the public was extremely small. In addition, unlike systematically managed cultural heritage, ‘replicated data’ in digital form is relatively unstructured in terms of creation, management, and storage. To systematize the many digital data that are piled up in a disorderly manner, a lot of manpower and cost must be invested, but there are limits to solving this with limited resources. This study proposes a standard for classifying cultural heritage data by introducing artificial intelligence technology to solve these problems, and further suggests ways to use digital data more creatively using artificial intelligence technology.