Exploring Knowledge Graphs (KG): A Comprehensive Overview
摘要
Knowledge Graphs indeed have significant importance in the biomedical domain. By representing knowledge in a graphical form, Knowledge Graphs facilitate the organization, integration, and analysis of complex biomedical data, enabling researchers and professionals to extract valuable insights and make informed decisions. Some of the key applications and references of Knowledge Graphs in the biomedical field include drug design and discovery, clinical decision support, research, drug safety and adverse event detection, ontologies, etc. As the field continues to advance and more data becomes available, Knowledge Graphs are likely to play an increasingly vital role in enabling breakthrough discoveries and improving patient outcomes.