YAGO

YAGO is a semantic knowledge base derived from Wikipedia, WordNet, and GeoNames, offering a structured resource of entities and facts. It contains information on over 10 million entities, including persons, organizations, and cities, with more than 120 million facts. YAGO is characterized by its accuracy, with manual evaluations confirming a 95% accuracy rate. The knowledge base combines the taxonomy of WordNet with the rich category system of Wikipedia, assigning entities to over 350,000 classes. YAGO also incorporates temporal and spatial dimensions, adding context to many of its facts and entities. It is designed for researchers, data scientists, and developers who need a reliable and comprehensive source of structured knowledge for various applications, including semantic web development, information retrieval, and knowledge discovery.