Relational Table

Relational tables, the foundation of relational databases, are undergoing significant research scrutiny to improve their efficiency and usability. Current efforts focus on enhancing semantic understanding of table data through techniques like graph neural networks and large language models, as well as developing frameworks for federated learning across distributed relational tables and automating the transformation of non-standard tables into relational format. These advancements aim to improve data analysis, integration, and the accessibility of relational databases for both technical and non-technical users, ultimately impacting various data-driven applications.