Databases and Information Systems
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Linking

YAGO as Linked Open Data

YAGO is part of the linked data cloud. We are linked directly to DBpedia. You can download these links.

  • sameAs-links between the classes of DBpedia and YAGO: TSV
  • sameAs-links between the individuals of YAGO and the YAGO-based classes of DBpedia: TSV
  • subClassOf-links between the classes of YAGO and the manual ontology classes of DBpedia: download as TSV (with precision), download as RDF/TTL (cut at 60% precision). These links have been computed automatically by the PARIS project and are not 100% accurate.
  • subPropertyOf-links between the relations of YAGO and the manual ontology properties of DBpedia: download as TSV (with precision), download as RDF/TTL (cut at 40% precision). These links have been computed automatically by the PARIS project. They are not perfect, but of very reasonable quality.

YAGO is also linked to Freebase:

We also have a SPARQL interface for YAGO, provided by the Data Science Center of Paris-Saclay University:

The namespace of YAGO is yago-knowledge.org/resource/.

YAGO Applications

YAGO is being used in numerous projects around the globe:

  • Ontology Construction projects
    • The SUMO Ontology is a highly axiomized manually created ontology.
      SUMO and YAGO have been merged in the YAGO-SUMO project.
    • DBpedia is a community effort to extract structured information from Wikipedia.
      YAGO contributes a taxomic backbone to DBpedia.
    • The Linking Open Data Initiative aims to interlink existing ontologies through Web services.
      By help from our friends at DBpedia, YAGO is part of this initiative.
    • The UMBEL ontology aims to provide a lightweight structure of subject concepts as a reference to what Web content or data "is about".
      YAGO contributes the entities to UMBEL.
    • Freebase is a community-based approach to ontologies.
      YAGO technology has been exported to Freebase.
  • Other Projects of which we know
    • The Jeopardy contestant WATSON uses YAGO (see here and this article)
    • The SPASS YAGO reasoner can perform automated reasoning on YAGO.
    • Our YAGO-NAGA project addresses a wide range of key challenges in the area of semantic information processing.
      See links on the left for the works in this project.
    • The Broccoli search engine combines full text search with semantic search on YAGO.
    • Have a project that we could list? Drop us a mail to nameOfTheOntology@mpii.de!
  • Others