1 / 33

YAGO – A Core of Semantic Knowledge

YAGO – A Core of Semantic Knowledge. Fabian M. Suchanek , Gjergji Kasneci, Gerhard Weikum (Max-Planck Institute for Computer Science Saarbrücken/Germany). Overview. ر Motivation ر The Yago ontology ر Content ر Model ر Extension ر Conclusion. The Truth about Elvis.

woods
Download Presentation

YAGO – A Core of Semantic Knowledge

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. YAGO – A Core of Semantic Knowledge Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum (Max-Planck Institute for Computer Science Saarbrücken/Germany) YAGO - A Core of Semantic Knowledge

  2. Overview ر Motivation ر The Yago ontology ر Content ر Model رExtension ر Conclusion YAGO - A Core of Semantic Knowledge

  3. The Truth about Elvis Elvis is alive! YAGO - A Core of Semantic Knowledge

  4. The Truth about Elvis Elvis is alive! He works as an astronaut in NASA's special security program YAGO - A Core of Semantic Knowledge

  5. Usual solution Which NASA astronaut was born when Elvis was born? Yields only rubbish. Reasons: 1. Google participates in the conspiracy 2. Google does not search knowledge, but Web sites YAGO - A Core of Semantic Knowledge

  6. Solution: An ontology astronaut is an ? born born 1935 YAGO - A Core of Semantic Knowledge

  7. Solution: An ontology entity subclass person subclass is a astronaut is a ? born born 1935 means means "Elvis Presley" "The King" YAGO - A Core of Semantic Knowledge

  8. Solution: An ontology entity subclass Classes person subclass Relations is a astronaut is a ? born born Individuals 1935 means means Words "Elvis Presley" "The King" YAGO - A Core of Semantic Knowledge

  9. Where do we get the ontology from? Previous approaches: رAssemble the ontology manually (WordNet, SUMO, GeneOntology) Problems: Usually low coverage (MPI is in none of these) ر Extract the ontology from corpora (e.g. the Web) (KnowItAll, Espresso, Snowball, LEILA) Problem: Usually low accuracy (50%-92%) YAGO - A Core of Semantic Knowledge

  10. Where do we get the ontology from? YAGO approach: Assemble the ontology from Wikipedia (=> good coverage) Use the category system of Wikipedia (=> good accuracy) YAGO - A Core of Semantic Knowledge

  11. Exploiting the Wikipedia category system Elvis Pr born 1935 blah blah blub Elvis (don't read this! Better listen to the talk!) laber fasel suelz. Insbesondere, blub, texte zu, und so weiter blah blah blub Elvis laber fasel suelz. Blub, aber blah! Insbesondere, blub, texte zu, und so weiter blah blah blub Elvis laber fasel suelz. Insbesondere, blub, texte zu, und so weiter Exploit relational categories Categories: 1935_births YAGO - A Core of Semantic Knowledge

  12. Exploiting the Wikipedia category system American_singer Elvis Pr is a born 1935 blah blah blub Elvis (don't read this! Better listen to the talk!) laber fasel suelz. Insbesondere, blub, texte zu, und so weiter blah blah blub Elvis laber fasel suelz. Blub, aber blah! Insbesondere, blub, texte zu, und so weiter blah blah blub Elvis laber fasel suelz. Insbesondere, blub, texte zu, und so weiter Exploit relational categories Exploit conceptual categories Categories: American_singers YAGO - A Core of Semantic Knowledge

  13. Exploiting the Wikipedia category system Disputed_article American_singer Elvis Pr is a is a born 1935 blah blah blub Elvis (don't read this! Better listen to the talk!) laber fasel suelz. Insbesondere, blub, texte zu, und so weiter blah blah blub Elvis laber fasel suelz. Blub, aber blah! Insbesondere, blub, texte zu, und so weiter blah blah blub Elvis laber fasel suelz. Insbesondere, blub, texte zu, und so weiter Exploit relational categories Exploit conceptual categories Categories: Avoid administrational categories Disputed_articles YAGO - A Core of Semantic Knowledge

  14. Exploiting the Wikipedia category system Rock'n_Roll_Music American_singer Elvis Pr is a is a born 1935 blah blah blub Elvis (don't read this! Better listen to the talk!) laber fasel suelz. Insbesondere, blub, texte zu, und so weiter blah blah blub Elvis laber fasel suelz. Blub, aber blah! Insbesondere, blub, texte zu, und so weiter blah blah blub Elvis laber fasel suelz. Insbesondere, blub, texte zu, und so weiter Exploit relational categories Exploit conceptual categories Categories: Avoid administrational categories Rock'n_Roll_Music Avoid thematic categories YAGO - A Core of Semantic Knowledge

  15. The Upper Model entity ? person American_singer is a born 1935 YAGO - A Core of Semantic Knowledge

  16. The Upper Model: From Wikipedia? Business Social_group ? People_by_occupation American_singer is a born 1935 YAGO - A Core of Semantic Knowledge

  17. The Upper Model: From WordNet? Person#3 Singer#17 Singer#1 ... American_singer is a born 1935 YAGO - A Core of Semantic Knowledge

  18. The Upper Model: From WordNet? Person#3 Singer#17 Singer#1 Origin#7 ... American_singers_of_Jewish_origin is a born 1935 YAGO - A Core of Semantic Knowledge

  19. The YAGO ontology Person#3 subclass Singer#1 means subclass "singer" American_singer is a born 1935 "Elvis Presley" means YAGO - A Core of Semantic Knowledge

  20. The YAGO ontology: Accuracy YAGO - A Core of Semantic Knowledge

  21. The YAGO ontology: Number of Facts 6,000,000 Ontologies should not be judged purely by the number of facts! This is just an informational overview. 2,000,000 30,000 60,000 200,000 300,000 Yago KnowItAll SUMO WordNet OpenCyc Cyc YAGO - A Core of Semantic Knowledge

  22. The Yago Model: Why binary is not enough singer (Elvis, is_a, singer) (But only from 1953 to 1977) is a (We know this from Wikipedia) YAGO - A Core of Semantic Knowledge

  23. The Yago Model: Why binary is not enough singer #1 (Elvis, is_a, singer) #2 (#1, time, 1953-1977) #3 (#1, source, Wikipedia) time 1953-1977 is a source Wikipedia YAGO - A Core of Semantic Knowledge

  24. The Yago model formally • A YAGO ontology over • a set of relations R • a set of common entities C • a set of fact identifiers I • is a function • I  (RCI)  R  (RIC) #1 (Elvis, is_a, singer) #2 (#1, time, 1953-1977) #3 (#1, source, Wikipedia) • We can talk about • facts (#1, source, Wikipedia) • additional arguments (#1, time, 1953-1977) • relations (time, hasRange, time_interval) YAGO - A Core of Semantic Knowledge

  25. The Yago model: Logical aspects Axioms: (x, is_a, y) (y, subclass, z) => (x, is_a, z) ... person subclass singer is a is a YAGO - A Core of Semantic Knowledge

  26. The Yago model: Logical aspects finite, unique f1, f2, f3, f4, f5, f6, f7, f8, f9, f10 Axioms: (x, is_a, y) (y, subclass, z) => (x, is_a, z) ... derive facts f1, f2, f3, f4, f5 Eliminate facts f1, f2, f3 finite, unique YAGO - A Core of Semantic Knowledge

  27. Extending the Ontology Whom did Elvis marry? X married Y Elvis married Priscilla Priscilla YAGO - A Core of Semantic Knowledge

  28. Extending the Ontology with LEILA subj obj Whom did Elvis marry? X married Y subj obj Elvis, the great rock star, married Priscilla Priscilla YAGO - A Core of Semantic Knowledge

  29. Extending the Ontology Ontology (YAGO) Information Extraction (LEILA) YAGO - A Core of Semantic Knowledge

  30. The Truth about Elvis Which astronaut was born in the same year as Elvis? http://www.mpi-inf.mpg.de/~suchanek/downloads/yago/ Enter your Yago Query: "Elvis Presley" bornInYear $year $astro bornInYear $year $astro isa astronaut 20 results YAGO - A Core of Semantic Knowledge

  31. The Truth about Elvis Which astronaut codenamed "Roger" was born in the same year as Elvis? http://www.mpi-inf.mpg.de/~suchanek/downloads/yago/ Enter your Yago Query: "Elvis Presley" bornInYear $year $astro bornInYear $year "Roger" givenNameOf $astro $astro isa astronaut $astro = Roger_Chaffee YAGO - A Core of Semantic Knowledge

  32. Conclusions • Yago bases on a logically clean model • Yago has an accuracy of around 95% • Yago is 3 times larger than the largest competitor رElvis is alive YAGO - A Core of Semantic Knowledge

  33. Reference For all details, please refer to our technical report "Yago – A Core of Semantic Knowledge" (Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum) available at http://www.mpii.mpg.de/~suchanek BibTex: @TECHREPORT{yagotr, AUTHOR = {Suchanek, Fabian and Kasneci, Gjergji and Weikum, Gerhard}, TITLE = {Yago: A Core of Semantic Knowledge}, TYPE = {Research Report}, INSTITUTION = {Max-Planck-Institut f{\"u}r Informatik}, ADDRESS = {Stuhlsatzenhausweg 85, 66123 Saarbr{\"u}cken, Germany}, NUMBER = {MPI-I-2006-5-006}, YEAR = {2006} } YAGO - A Core of Semantic Knowledge

More Related