Satellite Art Archive establishes a digital platform to document and showcase global satellite art, addressing data gaps and uncertainties in satellite operations through innovative digital archiving methods.
By integrating a large language model, the archive enables users to explore content through natural language interaction, functioning as an intelligent digital guide for public audiences.
For researchers, it provides an advanced tool for scholars using LLMs to analyze the satellite art data within the archive. By using natural language, researchers can generate customized knowledge graphs without the need for complex search syntax.