Capturing and Classifying Ontology Evolution in News Media Archives
A. Weichselbraun, A. Scharl, and W. Liu. 7th International Workshop on Web Semantics, 19th International Workshop
on Database and Expert Systems Application (DEXA 2008), page 197-201. Turin, Italy, IEEE Computer Society Press, (September 2008)
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.
%0 Conference Paper
%1 weichselbraun2008a
%A Weichselbraun, Albert
%A Scharl, Arno
%A Liu, Wei
%B 7th International Workshop on Web Semantics, 19th International Workshop
on Database and Expert Systems Application (DEXA 2008)
%C Turin, Italy
%D 2008
%E Tjoa, A. Min
%E Wagner, Roland R.
%I IEEE Computer Society Press
%K changes, data-driven evolution, extension, learning ontology
%P 197-201
%T Capturing and Classifying Ontology Evolution in News Media Archives
%X 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.
%@ 978-0-7695-3299-8
@inproceedings{weichselbraun2008a,
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.},
added-at = {2012-04-16T19:17:24.000+0200},
address = {Turin, Italy},
author = {Weichselbraun, Albert and Scharl, Arno and Liu, Wei},
biburl = {https://www.bibsonomy.org/bibtex/2c855503cced165f747a9c72544baead8/albert.weichselbraun},
booktitle = {7th International Workshop on Web Semantics, 19th International Workshop
on Database and Expert Systems Application (DEXA 2008)},
editor = {Tjoa, A. Min and Wagner, Roland R.},
eprint = {http://eprints.weblyzard.com/38/1/weichselbraun2008a.pdf},
interhash = {d51c505afdef22fb5195bc4ef1b036aa},
intrahash = {c855503cced165f747a9c72544baead8},
isbn = {978-0-7695-3299-8},
keywords = {changes, data-driven evolution, extension, learning ontology},
month = {September},
owner = {albert},
pages = {197-201},
publisher = {IEEE Computer Society Press},
timestamp = {2012-04-16T19:17:27.000+0200},
title = {Capturing and Classifying Ontology Evolution in News Media Archives},
year = 2008
}