The Curation of Art: Using Slot Filling to Expand Accessibility to The Public

The primary objective of this research is to develop a system that overcomes language barriers and cultural differences, enabling user-customized curation across various fields. Utilizing the slot filling technique, the study facilitates users in understanding and selecting from the diverse attributes of a specific domain. This research underscores the role of art as a medium for conveying emotions, ideologies, and abstract concepts, proposing a novel method that can substitute the role of human curators in online environments. The study is structured into four main modules: Dataset Builder, Slot Filler, Visualizer, and Curator. By employing curation using GPT -4-based and BERT -based slot filling approaches, this system enables more sophisticated and systematic analysis and provides a user-friendly interface in the curation system. This allows users to easily explore and select the desired information or items. Such an approach is expected to enhance accessibility to art and enable diverse perspectives and interpretations.