Integrity Constraint

Integrity constraints ensure data consistency in databases and knowledge bases, preventing inconsistencies and ensuring data validity. Current research focuses on efficiently handling constraints in large, complex systems, exploring techniques like automated reasoning combined with large language models for natural language querying, and developing frameworks for specifying and checking constraints in machine learning applications. These advancements improve data quality, enable more robust data management, and facilitate the development of reliable AI systems across diverse applications, from autonomous driving to healthcare.