ARTS: A System for Aggregate Related Table Search

Existing table search techniques define table relatedness with unionablility and/or joinability. While these are valuable, they do not suffice for most data analysis tasks that involve numerical data, which is often aggregated over geographical, temporal, or other groups. In this demonstration, we showcase ARTS, a novel table search system centered on the unique concept of aggregate relatedness. By leveraging pre-trained language models, ARTS offers a superior column semantics understanding capability, with good labels created for both textual and numerical columns. This demonstration will offer attendees hands-on interaction with our system, revealing its potential in effectively addressing real-world data analysis challenges.