Relational Schema

Relational schemas, the blueprints of relational databases, are the focus of ongoing research aimed at improving their understanding, manipulation, and utilization. Current efforts concentrate on leveraging large language models (LLMs) for tasks like schema matching and subsetting, often employing techniques like prompt engineering and dense retrieval to overcome challenges posed by large and complex schemas. These advancements are crucial for improving the efficiency of database querying, data integration, and the development of more robust and scalable data management systems. The creation of large-scale schema datasets and the development of universal pretraining protocols for tabular data are also contributing to a more comprehensive understanding and improved capabilities in this area.