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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
Language:English
Date, Time and Location
Date:Thursday, 14 December 2006
Time:13:00
Duration:60 Minutes
Location:Saarbrücken
Building:E1 3 - Hörsaal Gebäude
Room:016
Abstract
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
95%.
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.
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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