YAGO – A Core of Semantic Knowledge Yet Another Great Ontology Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum (Max-Planck Institute for Computer Science Saarbrücken/Germany) Presented by Tandra Chakraborty Std# 20546668 YAGO - A Core of Semantic Knowledge CS 743@Tandra 1 Wednesday, October 15, 2014
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YAGO – A Core of Semantic Knowledge
Yet Another Great Ontology
Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum
(Max-Planck Institute for Computer Science Saarbrücken/Germany)
Presented by
Tandra Chakraborty
Std# 20546668
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Overview • Motivation for Ontology
• The YAGO Model
Structure
Semantics
Source
• Conclusion
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Motivation for Ontology
What else come on your mind?
• Nobel Prize
• Germany
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Google is searching for Webpage not
Knowledge
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Solution: An ontology
HASWONPRIZE
NOBELPRIZE
1921
HASWONPRIZE
NOBELPRIZE ?
SCIENTIST
PERSON
IND
IVID
UA
LS
C
RE
LA
TIO
NS
OB
JE
CT
CL
ASS
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subclassOf RE
LA
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WINNER
WINNER
An ontology is a formal framework for representing knowledge [Wikipedia]
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Application of Ontology
•Machine Translation
•Word Sense Disambiguation
•Document Classification
•Question Answering
• Entity and fact-oriented Web Search
•Data cleaning
• Record Linkage
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Idea behind YAGO
Manual categorization used for extraction :
WordNet, SUMO, GeneOntology
Problem: Usually low coverage
Extracting from Web:
KnowItAll, Espresso, Snowball, LEILA
Problem: Usually low accuracy (many false positive
result)
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What’s new in YAGO? YAGO approach:
• Combine Wikipedia and Wordnet
• Arranged concepts in a taxonomy (Wordnet) (=> good
coverage)
• Use the category system of Wikipedia (=> good accuracy)
• Extension of RDF(Resource Description Framework )
• It supports built in transitive relation (not in RDF)