YAGO knowledge base

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Authors: Fabian M. Suchanek, Thomas Bonald, Nikola Dobričić, Marc Jeanmougin, Margherita Necchi
Cited by: 0

Abstract

YAGO is a knowledge base, i.e., a database with knowledge about the real world. YAGO contains both entities (such as movies, people, cities, countries, etc.) and relations between these entities (who played in which movie, which city is located in which country, etc.). YAGO arranges its entities into classes: Elvis Presley belongs to the class of people, Paris belongs to the class of cities, and so on. These classes are arranged in a taxonomy: The class of cities is a subclass of the class of populated places, this class is a subclass of geographical locations, etc. YAGO feeds from Wikidata. Different from Wikidata, YAGO defines constraints (e.g., a birthPlace can be only a place), and enforces them. With this, YAGO can be seen as a curated, cleaned, and logically consistent subset of Wikidata. For more information, see https://yago-knowledge.org

Fields of Study & Subjects

Semantic Web and Ontologies Data Management and Algorithms Logic Reasoning and Knowledge

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 September 2026
Language
EN
Document type
Dataset