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Author, Editor

Author(s):

Kuzey, Erdal
Weikum, Gerhard

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Editor(s):

Baeza-Yates, Ricardo
Masanès, Julien
Spaniol, Marc

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Not MPII Editor(s):

Baeza-Yates, Ricardo
Masanès, Julien

BibTeX cite key*:

Kuzey2012

Title, Booktitle

Title*:

Extraction of Temporal Facts and Events from Wikipedia

Booktitle*:

TempWeb 2012 : Proceedings of the 2nd Temporal Web Analytics Workshop

Event, URLs

URL of the conference:

http://temporalweb.net/

URL for downloading the paper:

http://www.mpi-inf.mpg.de/~ekuzey/papers/tempweb_erdal_kuzey.pdf

Event Address*:

Lyon, France

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

17 April 2012

Event End Date:

17 April 2012

Publisher

Name*:

ACM

URL:


Address*:

New York, NY

Type:


Vol, No, Year, pp.

Series:


Volume:


Number:


Month:


Pages:

25-32

Year*:

2012

VG Wort Pages:


ISBN/ISSN:

978-1-4503-1188-5

Sequence Number:


DOI:

10.1145/2169095.2169101



Note, Abstract, ©


(LaTeX) Abstract:

Recently, large-scale knowledge bases have been constructed
by automatically extracting relational facts from text. Unfortunately,
most of the current knowledge bases focus on
static facts and ignore the temporal dimension. However,
the vast majority of facts are evolving with time or are valid
only during a particular time period. Thus, time is a signi -
cant dimension that should be included in knowledge bases.
In this paper, we introduce a complete information extraction
framework that harvests temporal facts and events from
semi-structured data and free text of Wikipedia articles to
create a temporal ontology. First, we extend a temporal data
representation model by making it aware of events. Second,
we develop an information extraction method which harvests
temporal facts and events from Wikipedia infoboxes,
categories, lists, and article titles in order to build a temporal
knowledge base. Third, we show how the system can use
its extracted knowledge for further growing the knowledge
base.
We demonstrate the e ectiveness of our proposed methods
through several experiments. We extracted more than one
million temporal facts with precision over 90\% for extraction
from semi-structured data and almost 70\% for extraction
from text.

Keywords:

Temporal Knowledge, Information Extraction, Ontologies



Download
Access Level:

Internal

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Databases and Information Systems Group

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{Kuzey2012,
AUTHOR = {Kuzey, Erdal and Weikum, Gerhard},
EDITOR = {Baeza-Yates, Ricardo and Masan{\`e}s, Julien and Spaniol, Marc},
TITLE = {Extraction of Temporal Facts and Events from {Wikipedia}},
BOOKTITLE = {TempWeb 2012 : Proceedings of the 2nd Temporal Web Analytics Workshop},
PUBLISHER = {ACM},
YEAR = {2012},
PAGES = {25--32},
ADDRESS = {Lyon, France},
ISBN = {978-1-4503-1188-5},
DOI = {10.1145/2169095.2169101},
}


Entry last modified by Anja Becker, 02/22/2013
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Editor(s)
[Library]
Created
01/10/2013 06:41:13 PM
Revision
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Editor
Anja Becker
Erdal Kuzey


Edit Date
22.02.2013 11:52:39
01/10/2013 06:41:13 PM