As of 2019,[update] YAGO3 has knowledge of more than 10 million entities and contains more than 120 million facts about these entities.[4] The information in YAGO is extracted from Wikipedia (e.g., categories, redirects, infoboxes), WordNet (e.g., synsets, hyponymy), and GeoNames.[5] The accuracy of YAGO was manually evaluated to be above 95% on a sample of facts.[6] To integrate it to the linked data cloud, YAGO has been linked to the DBpediaontology[7] and to the SUMO ontology.[8]
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.[9]
^yago3: YAGO is a large semantic knowledge base, derived from Wikipedia, WordNet, WikiData, GeoNames, and other data sources, yago-naga, 2017-08-31, retrieved 2017-08-31
^Fabian M. Suchanek, Gjergji Kasneci and Gerhard Weikum. "Yago – A Core of Semantic Knowledge". 16th international World Wide Web conference (WWW 2007) [1]
^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)
External linksedit
New Homepage
YAGO Homepage
January 01, 1970
yago, database, yago, another, great, ontology, open, source, knowledge, base, developed, planck, institute, informatics, saarbrücken, automatically, extracted, from, wikipedia, other, sources, yagodeveloper, planck, institute, saarbrückeninitial, release2008s. YAGO Yet Another Great Ontology is an open source 3 knowledge base developed at the Max Planck Institute for Informatics in Saarbrucken It is automatically extracted from Wikipedia and other sources YAGODeveloper s Max Planck Institute SaarbruckenInitial release2008Stable release4 0 March 2020 1 Repositorygithub wbr com wbr yago naga wbr yago3TypeSemantic Web linked dataLicenseCreative Commons CC BY 3 0 2 Websiteyago knowledge wbr org As of 2019 update YAGO3 has knowledge of more than 10 million entities and contains more than 120 million facts about these entities 4 The information in YAGO is extracted from Wikipedia e g categories redirects infoboxes WordNet e g synsets hyponymy and GeoNames 5 The accuracy of YAGO was manually evaluated to be above 95 on a sample of facts 6 To integrate it to the linked data cloud YAGO has been linked to the DBpedia ontology 7 and to the SUMO ontology 8 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 9 See also editCommonsense knowledge bases Cyc Evi software Wikidata DBpediaReferences edit Home Yago Project Yago Downloads Retrieved 2015 01 08 yago3 YAGO is a large semantic knowledge base derived from Wikipedia WordNet WikiData GeoNames and other data sources yago naga 2017 08 31 retrieved 2017 08 31 Yago Retrieved 2019 01 09 Fabian M Suchanek Gjergji Kasneci and Gerhard Weikum Yago A Core of Semantic Knowledge 16th international World Wide Web conference WWW 2007 1 Yago Statistics Retrieved 2015 01 24 Yago Linking Retrieved 2015 01 24 YAGO SUMO Retrieved 2012 12 21 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 External links editNew Homepage YAGO Homepage Retrieved from https en wikipedia org w index php title YAGO database amp oldid 1182245484, wikipedia, wiki, book, books, library,
