Semantic Type

Semantic type detection aims to automatically assign meaningful labels (e.g., "politician," "musical artist") to data elements, such as columns in tables or entities in social media. Current research focuses on leveraging large language models (LLMs) and graph neural networks (GNNs) to improve accuracy, often incorporating knowledge graphs or weak supervision techniques to address data scarcity and improve generalization. These advancements are crucial for automating data exploration, integration, and knowledge discovery across diverse data sources, leading to more efficient and insightful data analysis in various fields.