Knowledge Base Schema

Knowledge base schemas are frameworks defining the structure and relationships within knowledge graphs, crucial for organizing and querying information. Current research focuses on automating schema creation and utilization, particularly leveraging large language models (LLMs) for tasks like information extraction, schema definition, and question answering. This work aims to improve the efficiency and accessibility of knowledge graph construction and utilization, impacting diverse fields like healthcare (e.g., building medical assistant systems) and scientific data management through improved data organization and analysis. The development of tools and gateways for schema collection, analysis, and embedding further enhances the usability of these schemas for machine learning applications.