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1/38 YAGO: a Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames Fabian Suchanek 1 , Johannes Hoffart 2 , Joanna Biega 2 , Thomas Rebele 1 , Erdal Kuzey 2 , Gerhard Weikum 2 1 Télécom ParisTech 2 Max Planck Institute for Informatics 2017-06-23

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Page 1: YAGO: a Multilingual Knowledge Base from Wikipedia ... · investigative journalism ... 2015 YAGO3: entities and facts from 10 languages [MBS15] ... Proceedings of the 22nd international

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YAGO: a Multilingual Knowledge Basefrom Wikipedia, Wordnet, and Geonames

Fabian Suchanek 1, Johannes Hoffart 2, Joanna Biega 2,Thomas Rebele 1, Erdal Kuzey 2, Gerhard Weikum 2

1 Télécom ParisTech 2 Max Planck Institute for Informatics

2017-06-23

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Plan

What is a knowledge base?

YAGOCombining WordNet with WikipediaMultilingual: facts and entities from 10 WikipediasTime and spaceAccuracy

ApplicationsDBpediaIBM WatsonAIDASemantic Culturomics

AMIEPartial completeness assumptionRule mining in knowledge basesCanonicalization of knowledge basesWikilinks semantificationCompleteness

Conclusion

References

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What is a knowledge base?

Albert EinsteinMileva Maric

married

Image source: https://wikipedia.de

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What is a knowledge base?

Albert EinsteinMileva Maric

married

Alfred Kleinerhas advisor

Image source: https://wikipedia.de

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What is a knowledge base?

Albert EinsteinMileva Maric

married

Alfred Kleinerhas advisor

Nobel Prize in Physics

won prize

Image source: https://wikipedia.de

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Where do knowledge bases help?

Applications of knowledge bases

◮ question answering

◮ semantic search

◮ intelligent personal assistants

◮ investigative journalism

◮ text analysis

◮ machine translation

Hence, everybody does it

◮ Google: Knowledge Graph

◮ Amazon: Evi

◮ Microsoft: Satori

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What is YAGO?

◮ knowledge base with 10 million entities and >210 million facts

◮ multilingual facts from 10 languages

◮ focus on precision

◮ developed by Max-Planck Institute for Informatics and TélécomParisTech

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What is YAGO?

<Albert_Einstein>

Mileva

mar

ried

Alfred Kleiner

advi

sor

Nobel Prize

wo

n

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What does YAGO know?

theme name number of factstaxonomy-related facts 95 msimplified taxonomy 17 mmain facts 55 mGeoNames facts 39 mmeta-facts 203 mmultilingual class labels 787 kmaps to other knowledge bases 4 mraw information Wikipedia 296 mredirect links and anchor texts 471 m

Themes of YAGO

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What does YAGO know? - Sources

- Wikipedia

- WordNet

- GeoNames

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YAGO

2006 idea: combine entities from Wikipedia with WordNettaxonomy

2007 YAGO: first version [SKW07]

2008 extract facts from infoboxes [SKW08]

2011 YAGO2: temporal and geographical meta facts[Hof+11a]; [Hof+13]

2013 YAGO2s: modular architecture [Suc+13]

2015 YAGO3: entities and facts from 10 languages [MBS15]

Fabian Suchanek Johannes Hoffart Joanna Biega Gerhard Weikum

Erdal Kuzey F. Mahdisoltani Gjergji Kasneci Thomas Rebele

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YAGO - Combining WordNet with Wikipedia

<wikicat_20th-century_physicists>

<wordnet_physicist>

...

<wordnet_person>

rdfs:subClassOf

rdfs:subClassOf

rdfs:subClassOf

Wikipedia categories

Wordnet taxonomy

Albert Einstein

rdf:type

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YAGO - Combining WordNet with Wikipedia

Graph Browser ✄ w3id.org/yago/svgbrowser

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YAGO - Multilingual: facts and entities from 10 Wikipedias

· · ·

· · ·

· · ·

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YAGO - Multilingual: facts and entities from 10 Wikipedias

· · ·

· · ·

· · ·

intermediate extractors

◮ clean facts

◮ deduplicate entities and facts

◮ check consistency

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YAGO - Multilingual: facts and entities from 10 Wikipedias

birth_place GEBURTSORT lieu de naissance

(Einstein, Ulm)(Hawking, Oxford)(Euler, Basel)...

(Einstein, Ulm)(Hawking, Oxford)(Euler, Basel)...

(Einstein, Ulm)(Hawking, Oxford)(Euler, Basel)...

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YAGO - Multilingual: facts and entities from 10 Wikipedias

birth_place GEBURTSORT lieu de naissance

(Einstein, Ulm)(Hawking, Oxford)(Euler, Basel)...

(Einstein, Ulm)(Hawking, Oxford)(Euler, Basel)...

(Einstein, Ulm)(Hawking, Oxford)(Euler, Basel)...

P(S1 ⊇ S2) > theta

GEBURTSORT → birth_placelieu de naissance → birth_place...

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YAGO - Multilingual: facts and entities from 10 Wikipedias

YAGO architecture

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YAGO - Time and space

Albert Einstein Mileva Maricmarried

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YAGO - Time and space

Albert Einstein Mileva Maricmarried

<id_tiwmcu_16x_11ovtp>

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YAGO - Time and space

Albert Einstein Mileva Maricmarried

<id_tiwmcu_16x_11ovtp>

<http://en.wikipedia.org/wiki/Albert_Einstein>

sourc

e

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YAGO - Time and space

Albert Einstein Mileva Maricmarried

<id_tiwmcu_16x_11ovtp>

<http://en.wikipedia.org/wiki/Albert_Einstein>

sourc

e

1903-##-##si

nce

1919-##-##

until

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YAGO - Time and space

SPOTLX Browser ✄ w3id.org/yago/spotlx

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YAGO - Accuracy

Screenshot of evaluation result

◮ 2 months evaluation, 15 participants

◮ evaluated 4412 facts of 76 relations (with 60m total facts)

◮ 98% facts of the sample were correct

◮ Wilson center: 95%, interval width: 4.2%

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Applications

What is a knowledge base?

YAGOCombining WordNet with WikipediaMultilingual: facts and entities from 10 WikipediasTime and spaceAccuracy

ApplicationsDBpediaIBM WatsonAIDASemantic Culturomics

AMIEPartial completeness assumptionRule mining in knowledge basesCanonicalization of knowledge basesWikilinks semantificationCompleteness

Conclusion

References

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Applications - DBpedia

◮ research and community project

◮ knowledge base built from Wikipedia

◮ imported YAGO’s taxonomy

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Applications - IBM Watson

◮ participated in Jeopardy (TV quizz show)

◮ first place (competitors: human champions)

◮ used YAGO’s type hierarchy

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Applications - AIDA

Named Entity Disambiguation with ADIA,[Hof+11b]

✄ github.com/yago-naga/aida

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Applications - Semantic Culturomics

in cooperation with Le Monde

Average age of people by occupation, [HBS13]✄ w3id.org/yago/mpi/le-monde

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AMIE

What is a knowledge base?

YAGOCombining WordNet with WikipediaMultilingual: facts and entities from 10 WikipediasTime and spaceAccuracy

ApplicationsDBpediaIBM WatsonAIDASemantic Culturomics

AMIEPartial completeness assumptionRule mining in knowledge basesCanonicalization of knowledge basesWikilinks semantificationCompleteness

Conclusion

References

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AMIE

type(x, pope)=⇒

diedIn(x, Rome)

AMIE

Reference: [Gal+13] [Gal+15]

Luis Galárraga Christina Teflioudi Katja Hose Fabian Suchanek

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AMIE - Partial completeness assumption

...

isCitizenOf

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AMIE - Partial completeness assumption

...

isCitizenOf

false

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AMIE - Partial completeness assumption

...

isCitizenOf

false unknown

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AMIE - Rule mining in knowledge bases

University of Zurich Albert Einstein

Alfred Kleiner Switzerland

almaMater

advises

worksAt

livedIn

citizenOf

livedIn

AMIE

almaMater(z,y), advises(x,z) =⇒ worksAt(x,y)livedIn(x,y) =⇒ isCitizenOf(x,y)

Diagram by Luis GalárragaImage source: https://wikipedia.de

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AMIE - Canonicalization of knowledge bases

University of Zurich Albert Einstein

graduaded from

earned degree from

AMIE

graduated from ⇐⇒ earned degree from

Reference: [Gal+14] Diagram by Luis GalárragaImage source: https://wikipedia.de

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AMIE - Wikilinks semantification

Nobel Prize

Albert Einstein

Max Planck

Scientist

linksTo

won

linksTo

???

is

is

AMIE

is(x, Scientist), linksTo(x, Nobel Prize) =⇒ won(x, Nobel Prize)

Reference: [GSM15] Diagram by Luis GalárragaImage source: https://wikipedia.de

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AMIE - Completeness

Albert Einstein Mileva Maric

married

Image source: https://wikipedia.de

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AMIE - Completeness

Albert Einstein Mileva Maric

married

Priscilla Presley?

married

AMIE can mine completeness rules

Image source: https://wikipedia.de

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AMIE - Completeness

◮ closed world assumption

◮ partial completeness assumption

◮ popularity oracle

◮ no-change oracle

◮ star-pattern oracle

◮ class oracle

◮ AMIE oracle

Reference: [Gal+17]

Luis Galárraga Simon Razniewski Antoine Amarilli Fabian Suchanek

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AMIE - Completeness

◮ closed world assumption

◮ partial completeness assumption

◮ popularity oracle

◮ no-change oracle

◮ star-pattern oracle

◮ class oracle

◮ AMIE oracle

moreThan1(x, hasParent) =⇒ complete(x, hasParent)

Reference: [Gal+17]

Luis Galárraga Simon Razniewski Antoine Amarilli Fabian Suchanek

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AMIE - Completeness

AMIE can predict incompleteness

◮ bornIn: 100%

◮ diedIn: 96%

◮ directed: 100%

◮ graduatedFrom: 87%

◮ hasChild: 78%

◮ isMarriedTo: 46%

... and more

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Conclusion

What is a knowledge base?

YAGOCombining WordNet with WikipediaMultilingual: facts and entities from 10 WikipediasTime and spaceAccuracy

ApplicationsDBpediaIBM WatsonAIDASemantic Culturomics

AMIEPartial completeness assumptionRule mining in knowledge basesCanonicalization of knowledge basesWikilinks semantificationCompleteness

Conclusion

References

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Conclusion

◮ knowledge base with 10 million entitiesand >210 million facts

◮ combines Wikipedia with Wordnet

◮ multilingual facts from 10 languages

◮ has facts about time and space

◮ contains >95% correct facts

◮ available athttp://yago-knowledge.org

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Conclusion

◮ knowledge base with 10 million entitiesand >210 million facts

◮ combines Wikipedia with Wordnet

◮ multilingual facts from 10 languages

◮ has facts about time and space

◮ contains >95% correct facts

◮ available athttp://yago-knowledge.org

Announce: in the following weeks

◮ new data release

◮ YAGO goes Open Source

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References

What is a knowledge base?

YAGOCombining WordNet with WikipediaMultilingual: facts and entities from 10 WikipediasTime and spaceAccuracy

ApplicationsDBpediaIBM WatsonAIDASemantic Culturomics

AMIEPartial completeness assumptionRule mining in knowledge basesCanonicalization of knowledge basesWikilinks semantificationCompleteness

Conclusion

References

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References

Joanna Biega, Erdal Kuzey, and Fabian M. Suchanek. InsideYAGO2s: A transparent information extraction architecture. In:Proceedings of the 22nd international conference on World Wide Webcompanion. 00016. International World Wide Web ConferencesSteering Committee, 2013, pp. 325–328

Luis Galárraga, Christina Teflioudi, Katja Hose, andFabian M. Suchanek. AMIE: association rule mining underincomplete evidence in ontological knowledge bases. In: WWW.2013

Luis Galárraga, Geremy Heitz, Kevin Murphy, andFabian M. Suchanek. Canonicalizing Open Knowledge Bases. In:00008. ACM Press, 2014, pp. 1679–1688. ISBN: 978-1-4503-2598-1.DOI: 10.1145/2661829.2662073

Luis Galárraga, Christina Teflioudi, Katja Hose, andFabian M. Suchanek. Fast Rule Mining in Ontological KnowledgeBases with AMIE+. In: VLDBJ. 00002https://suchanek.name/work/publications/vldbj2015.pdf. 2015

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References

Luis Galárraga, Simon Razniewski, Antoine Amarilli, andFabian M. Suchanek. Predicting Completeness in Knowledge Bases.In: 00000. ACM Press, 2017, pp. 375–383. ISBN: 978-1-4503-4675-7.

DOI: 10.1145/3018661.3018739

Luis Galarraga, Danai Symeonidou, and Jean-Claude Moissinac.Rule Mining for Semantifying Wikilinks. In: Linked Open DataWorkshop at WWW. 2015

Thomas Huet, Joanna Biega, and Fabian M. Suchanek. Mininghistory with Le Monde. In: Proceedings of the 2013 workshop onAutomated knowledge base construction. 00010. ACM Press, 2013,pp. 49–54. ISBN: 978-1-4503-2411-3. DOI:10.1145/2509558.2509567

Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, andGerhard Weikum. YAGO2: A Spatially and Temporally EnhancedKnowledge Base from Wikipedia. Research Report.Max-Planck-Institut für Informatik, 2010

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References

Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich,Edwin Lewis-Kelham, Gerard De Melo, and Gerhard Weikum.YAGO2: exploring and querying world knowledge in time, space,context, and many languages. In: Proceedings of the 20th internationalconference companion on World wide web. 00187. ACM, 2011,pp. 229–232

Johannes Hoffart et al. Robust disambiguation of named entities intext. In: Proceedings of the Conference on Empirical Methods in NaturalLanguage Processing. 00288. Association for ComputationalLinguistics, 2011, pp. 782–792

Johannes Hoffart, Fabian M Suchanek, Klaus Berberich, andGerhard Weikum. YAGO2: A spatially and temporally enhancedknowledge base from Wikipedia. In: Artificial Intelligence 194 (2013).00374, pp. 28–61

Farzaneh Mahdisoltani, Joanna Biega, and Fabian Suchanek.YAGO3: A knowledge base from multilingual Wikipedias. In: 7thBiennial Conference on Innovative Data Systems Research. 00022. CIDR2015, 2015

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References

Thomas Rebele, Fabian Suchanek, Johannes Hoffart, Joanna Biega,Erdal Kuzey, and Gerhard Weikum. YAGO: a multilingualknowledge base from Wikipedia, Wordnet, and Geonames. In:ISWC 2016. 2016

Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum. Yago: acore of semantic knowledge. In: Proceedings of the 16th internationalconference on World Wide Web. 01699. ACM, 2007, pp. 697–706

Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum. Yago:A large ontology from wikipedia and wordnet. In: Web Semantics:Science, Services and Agents on the World Wide Web 6.3 (2008). 00575,pp. 203–217

Fabian M. Suchanek, Johannes Hoffart, Erdal Kuzey, andEdwin Lewis-Kelham. YAGO2s: Modular High-QualityInformation Extraction with an Application to Flight Planning.. In:BTW. Vol. 214. 00012. 2013, pp. 515–518

Acknowledgements:Icons designed by Madebyoliver from Flaticon