Abstract

This study explores the integration of cutting-edge technology with records management, aiming to create new value not only in work processes but also in record information services. The research focuses on the case of constructing an “AI-based cultural heritage research record learning data and search system,” carried out by the National Research Institute of Cultural Heritage (NRICH) Archives, and analyzes user satisfaction results. “Discovering Cultural Heritage with ZOOM” is a system designed to proactively predict research data demand by constructing big data (learning data) from images (675,338 items) contained in 1,421 volumes of publications in the cultural heritage field, spanning from 1973 to the present, and simultaneously presenting 50 similar images. This initiative aims to foster change and development in the field of records management and cultural heritage in response to the Fourth Industrial Revolution's advanced technologies. It is expected to provide valuable information to researchers, practitioners, and the general public alike.