Capturing and Classifying Ontology Evolution in News Media Archives

Albert Weichselbraun; Arno Scharl; Wei Liu

Capturing and Classifying Ontology Evolution in News Media Archives

Albert Weichselbraun, Arno Scharl, Wei Liu

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

Abstract

Ontology evolution is an intrinsic phenomenon of any knowledge-intensive
system, which can be addressed either implicitly or explicitly.
This paper describes an approach to capture and visualize implicit data-driven ontology evolution using ontologies semi-automatically generated by extending small seed ontologies.
This process captures ontology changes reflected in large document
collections. Visualizing of these changes helps characterize the
evolution process, and distinguish core, extended and peripheral relations between concepts. Finally, the paper presents an example of ontology evolution by monitoring and analyzing online media coverage on ``energy sources'' over a period of ten months.

Originalsprache	Englisch
Titel des Sammelwerks	Nineteenth International Workshop on Database and Expert Systems Application (DEXA 2008); Seventh International Workshop on Web Semantics (WebS'08)
Herausgeber*innen	Tjoa, A. M. and Wagner, R. R.
Erscheinungsort	Turin, Italy
Verlag	IEEE Computer Society Press
Seiten	197 - 201
ISBN (Print)	978-0-7695-3299-8
Publikationsstatus	Veröffentlicht - 1 Sept. 2008

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Katalog der Universitätsbibliothek

RAVEN - Relation Analysis and Visualization for Enterprise Networks
Panny, W. (Projektleitung), Weichselbraun, A. (Projektleitung), Syed, K. A. A. (Forscher*in) & Wohlgenannt, G. (Forscher*in)
1/01/08 → 30/06/10
Projekt: Forschungsförderung
AVALON - Acquisition and VALidation of ONtologies
Panny, W. (Projektleitung), Weichselbraun, A. (Forscher*in) & Wohlgenannt, G. (Forscher*in)
1/01/06 → 29/02/08
Projekt: Forschungsförderung

Zitat

@inproceedings{39ddc043720349dcba615a5ff56c118b,

title = "Capturing and Classifying Ontology Evolution in News Media Archives",

abstract = "Ontology evolution is an intrinsic phenomenon of any knowledge-intensive system, which can be addressed either implicitly or explicitly. This paper describes an approach to capture and visualize implicit data-driven ontology evolution using ontologies semi-automatically generated by extending small seed ontologies. This process captures ontology changes reflected in large document collections. Visualizing of these changes helps characterize the evolution process, and distinguish core, extended and peripheral relations between concepts. Finally, the paper presents an example of ontology evolution by monitoring and analyzing online media coverage on ``energy sources'' over a period of ten months.",

author = "Albert Weichselbraun and Arno Scharl and Wei Liu",

year = "2008",

month = sep,

day = "1",

language = "English",

isbn = "978-0-7695-3299-8",

pages = "197 -- 201",

editor = "{Tjoa, A. M. and Wagner, R. R.}",

booktitle = "Nineteenth International Workshop on Database and Expert Systems Application (DEXA 2008); Seventh International Workshop on Web Semantics (WebS'08)",

publisher = "IEEE Computer Society Press",

}

Capturing and Classifying Ontology Evolution in News Media Archives. / Weichselbraun, Albert; Scharl, Arno; Liu, Wei.
Nineteenth International Workshop on Database and Expert Systems Application (DEXA 2008); Seventh International Workshop on Web Semantics (WebS'08). Hrsg. / Tjoa, A. M. and Wagner, R. R. Turin, Italy: IEEE Computer Society Press, 2008. S. 197 - 201.

Publikation: Beitrag in Buch/Konferenzband › Beitrag in Konferenzband

TY - GEN

T1 - Capturing and Classifying Ontology Evolution in News Media Archives

AU - Weichselbraun, Albert

AU - Scharl, Arno

AU - Liu, Wei

PY - 2008/9/1

Y1 - 2008/9/1

N2 - Ontology evolution is an intrinsic phenomenon of any knowledge-intensive system, which can be addressed either implicitly or explicitly. This paper describes an approach to capture and visualize implicit data-driven ontology evolution using ontologies semi-automatically generated by extending small seed ontologies. This process captures ontology changes reflected in large document collections. Visualizing of these changes helps characterize the evolution process, and distinguish core, extended and peripheral relations between concepts. Finally, the paper presents an example of ontology evolution by monitoring and analyzing online media coverage on ``energy sources'' over a period of ten months.

AB - Ontology evolution is an intrinsic phenomenon of any knowledge-intensive system, which can be addressed either implicitly or explicitly. This paper describes an approach to capture and visualize implicit data-driven ontology evolution using ontologies semi-automatically generated by extending small seed ontologies. This process captures ontology changes reflected in large document collections. Visualizing of these changes helps characterize the evolution process, and distinguish core, extended and peripheral relations between concepts. Finally, the paper presents an example of ontology evolution by monitoring and analyzing online media coverage on ``energy sources'' over a period of ten months.

M3 - Contribution to conference proceedings

SN - 978-0-7695-3299-8

SP - 197

EP - 201

BT - Nineteenth International Workshop on Database and Expert Systems Application (DEXA 2008); Seventh International Workshop on Web Semantics (WebS'08)

A2 - Tjoa, A. M. and Wagner, R. R., null

PB - IEEE Computer Society Press

CY - Turin, Italy

ER -

Capturing and Classifying Ontology Evolution in News Media Archives

Abstract

Verfügbarkeit prüfen

Projekte

RAVEN - Relation Analysis and Visualization for Enterprise Networks

AVALON - Acquisition and VALidation of ONtologies

Zitat