English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse
  1. Item Summary / 
  2. View item

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Yago: A Core of Semantic Knowledge - Unifying WordNet and Wikipedia

Suchanek, F. M., Kasneci, G., & Weikum, G. (2007). Yago: A Core of Semantic Knowledge - Unifying WordNet and Wikipedia. In C. L. Williamson, M. E. Zurko, P. F. Patel-Schneider, & P. J. Shenoy (Eds.), WWW 2007: 16th International World Wide Web Conference (pp. 697-706). New York, NY, USA: ACM.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-213D-F Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-6985-6
Genre: Conference Paper

Files

show Files
hide Files
:
yago_www2007.pdf (Any fulltext), 5KB
 
File Permalink:
-
Name:
yago_www2007.pdf
Description:
-
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Suchanek, Fabian M.1, Author           
Kasneci, Gjergji1, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

Content

show
hide
Free keywords: -
 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 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.

Details

show
hide
Language(s): eng - English
 Dates: 2007
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 356486
DOI: 10.1145/1242572.1242667
Other: Local-ID: C12573CC004A8E26-5621CD165294C987C1257281004E41F9-SuchanekKW2007
 Degree: -

Event

show
hide
Title: Untitled Event
Place of Event: Banff, Canada
Start-/End Date: 2007-05-08 - 2007-05-12

Legal Case

show

Project information

show

Source 1

show
hide
Title: WWW 2007 : 16th International World Wide Web Conference
Source Genre: Proceedings
 Creator(s):
Williamson, Carey L., Editor
Zurko, Mary Ellen, Editor
Patel-Schneider, Peter F., Editor
Shenoy, Prashant J., Editor
Affiliations:
-
Publ. Info: New York, NY, USA : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 697 - 706 Identifier: ISBN: 978-1-59593-654-7