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YAGO (database)

Open-source information repository

Summary

Open-source information repository

FieldValue
nameYAGO
logoYAGO.svg
developerMax-Planck-Institute Saarbrücken
released2008
latest_release_version4.5
latest_release_dateMay 2023
genreSemantic Web, linked data
licenseCreative Commons CC-BY 4.0
website

YAGO (Yet Another Great Ontology) is an open source knowledge base developed at the Max Planck Institute for Informatics in Saarbrücken. It is automatically extracted from Wikidata and Schema.org.

YAGO4, which was released in 2020, combines data that was extracted from Wikidata with relationship designators from Schema.org. The previous version of YAGO, YAGO3, had knowledge of more than 10 million entities and contained more than 120 million facts about these entities. The information in YAGO3 was extracted from Wikipedia (e.g., categories, redirects, infoboxes), WordNet (e.g., synsets, hyponymy), and GeoNames.Fabian M. Suchanek, Gjergji Kasneci and Gerhard Weikum. "Yago – A Core of Semantic Knowledge". 16th international World Wide Web conference (WWW 2007) http://suchanek.name/work/publications/www2007.pdf The accuracy of YAGO was manually evaluated to be above 95% on a sample of facts. To integrate it to the linked data cloud, YAGO has been linked to the DBpedia ontology and to the SUMO ontology.

YAGO3 is provided in Turtle and tsv formats. Dumps of the whole database are available, as well as thematic and specialized dumps. It can also be queried through various online browsers and through a SPARQL endpoint hosted by OpenLink Software. The source code of YAGO3 is available on GitHub.

YAGO has been used in the Watson artificial intelligence system.

References

References

  1. "Home: Yago Project".
  2. "License of YAGO4.5".
  3. (2017-08-31). "yago3: YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, WikiData, GeoNames, and other data sources". yago-naga.
  4. (24 June 2020). "The latest version of leading knowledge database, Yago".
  5. "Yago".
  6. "Yago Statistics".
  7. "Yago Linking".
  8. "YAGO-SUMO".
  9. David Ferrucci, Eric Brown, Jennifer Chu-Carroll, James Fan, David Gondek, Aditya A. Kalyanpur, Adam Lally, J. William Murdock, Eric Nyberg, John Prager, Nico Schlaefer, Chris Welty. Building Watson: An Overview of the DeepQA Project. AI Magazine 31(3): 59–79 (2010)
Wikipedia Source

This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.

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