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

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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.

Original language	English
Title of host publication	Nineteenth International Workshop on Database and Expert Systems Application (DEXA 2008); Seventh International Workshop on Web Semantics (WebS'08)
Editors	Tjoa, A. M. and Wagner, R. R.
Place of Publication	Turin, Italy
Publisher	IEEE Computer Society Press
Pages	197 - 201
ISBN (Print)	978-0-7695-3299-8
Publication status	Published - 1 Sept 2008

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University Library Catalogue

RAVEN - Relation Analysis and Visualization for Enterprise Networks
Panny, W. (PI - Project head), Weichselbraun, A. (PI - Project head), Syed, K. A. A. (Researcher) & Wohlgenannt, G. (Researcher)
1/01/08 → 30/06/10
Project: Research funding
AVALON - Akquisition und Validierung von Ontologien
Panny, W. (PI - Project head), Weichselbraun, A. (Researcher) & Wohlgenannt, G. (Researcher)
1/01/06 → 29/02/08
Project: Research funding

Cite this

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

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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",

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language = "English",

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

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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). ed. / Tjoa, A. M. and Wagner, R. R. Turin, Italy: IEEE Computer Society Press, 2008. p. 197 - 201.

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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

Check availability

Projects

RAVEN - Relation Analysis and Visualization for Enterprise Networks

AVALON - Akquisition und Validierung von Ontologien

Cite this