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Author, Editor(s)

Author(s):

Kasneci, Gjergji
Ramanath, Maya
Suchanek, Fabian
Weikum, Gerhard

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BibTeX cite key*:

KasneciSIGMODRec2008

Title

Title*:

The YAGO-NAGA Approach to Knowledge Discovery


yago-approach-revised.pdf (211.54 KB)

Journal

Journal Title*:

SIGMOD Record Special Issue on Managing Information Extraction

Journal's URL:


Download URL
for the article:


Language:

English

Publisher

Publisher's
Name:

ACM

Publisher's URL:

http://www.acm.org

Publisher's
Address:

New York, USA

ISSN:


Vol, No, pp, Date

Volume*:

37

Number:

4

Publishing Date:

2008

Pages*:

41-47

Number of
VG Pages:


Page Start:


Page End:


Sequence Number:


DOI:


Note, Abstract, ©

Note:


(LaTeX) Abstract:

This paper gives an overview on the YAGO-NAGA approach to information extraction for
building a conveniently searchable, large-scale, highly accurate knowledge base of common facts.
YAGO harvests infoboxes and category names of Wikipedia for facts about individual
entities, and it reconciles these with the taxonomic backbone of WordNet in order
to ensure that all entities have proper classes and the class system is consistent.
Currently, the YAGO knowledge base contains about 19 million instances of binary
relations for about 1.95 million entities. Based on intensive sampling, its accuracy is
estimated to be above 95 percent.
The paper presents the architecture of the YAGO extractor toolkit, its distinctive
approach to consistency checking, its provisions for maintenance and further growth,
and the query engine for YAGO, coined NAGA.
It also discusses ongoing work on extensions towards integrating fact candidates
extracted from natural-language text sources.

URL for the Abstract:


Categories,
Keywords:

Ontologies, Information Extraction, Information Retrieval

HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Databases and Information Systems Group

Audience:

experts only

Appearance:

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BibTeX Entry:

@ARTICLE{KasneciSIGMODRec2008,
AUTHOR = {Kasneci, Gjergji and Ramanath, Maya and Suchanek, Fabian and Weikum, Gerhard},
TITLE = {The {YAGO-NAGA} Approach to Knowledge Discovery},
JOURNAL = {SIGMOD Record Special Issue on Managing Information Extraction},
PUBLISHER = {ACM},
YEAR = {2008},
NUMBER = {4},
VOLUME = {37},
PAGES = {41--47},
ADDRESS = {New York, USA},
}


Entry last modified by Maya Ramanath, 06/10/2014
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Editor(s)
[Library]
Created
03/15/2009 09:08:38 PM
Revisions
4.
3.
2.
1.
0.
Editor(s)
Maya Ramanath
Martin Theobald
Martin Theobald
Fabian Suchanek
Fabian Suchanek
Edit Dates
05/15/2009 01:54:25 PM
04/14/2009 04:04:20 PM
04/14/2009 12:55:40 PM
15.03.2009 21:09:22
15.03.2009 21:08:38
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