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What and Who
Title:Ontology Learning
Speaker:Fabian Suchanek
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Speakers Bio:
Event Type:Ringvorlesung
Visibility:D1, D2, D3, D4, D5, SWS
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Level:Public Audience
Date, Time and Location
Date:Thursday, 14 December 2006
Duration:60 Minutes
Building:E1 3 - Hörsaal Gebäude
We present YAGO, a light-weight and extensible ontology with high
coverage and quality.
YAGO builds on entities and relations and currently contains roughly
900,000 entities and 5,000,000 facts.
This includes the Is-A hierarchy as well as non-taxonomic relations
between entities (such as relation{hasWonPrize}).
The facts have been automatically extracted from the unification of
Wikipedia and WordNet,
using a carefully designed combination of rule-based and heuristic
methods described in this paper.
The resulting knowledge base is a major step beyond WordNet: in
quality by adding knowledge about
individuals like persons, organizations, products, etc. with their
semantic relationships --
and in quantity by increasing the number of facts by more than an
order of magnitude.
Our empirical evaluation of fact correctness shows an accuracy of about
YAGO is based on a logically clean model, which is decidable,
extensible, and compatible with RDFS.
Finally, we show how YAGO can be further extended by state-of-the-art
information extraction techniques.
Video Broadcast
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Attachments, File(s):
  • Veronika Weinand, 12/12/2006 12:36 PM
  • Veronika Weinand, 11/21/2006 10:39 AM
  • Silke Wagner, 11/06/2006 04:17 PM
  • Veronika Weinand, 11/06/2006 02:39 PM
  • Veronika Weinand, 11/03/2006 12:21 PM
  • Veronika Weinand, 10/25/2006 03:08 PM
  • Veronika Weinand, 10/24/2006 12:47 PM
  • Veronika Weinand, 10/23/2006 03:06 PM
  • Veronika Weinand, 10/19/2006 02:54 PM
  • Veronika Weinand, 10/16/2006 05:07 PM