Capturing ontology evolution processes by repeated sampling of large document collections

Authors:
Albert Weichselbraun;Arno Scharl;Wei Liu;Gerhard Wohlgenannt
Affiliations:
Department of Applied Computer Science, Vienna University of Economics and Business Administration, Austria;Department of New Media Technology, MODUL University Vienna, Austria;School of Computer Science and Software Engineering, University of Western Australia, Perth, Australia;Department of Applied Computer Science, Vienna University of Economics and Business Administration, Austria
Venue:
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
Year:
2007

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Abstract

Ontology evolution is an intrinsic phenomenon of any knowledge-intensive system, which can be addressed either implicitly or explicitly. This paper describes an explicit, data-driven approach to capture and visualize ontology evolution by semi-automatically extending small seed ontologies. This process captures ontology changes reflected in large document collections. The visualization of these changes helps characterize the evolution process, and distinguish core, extended and peripheral relations between concepts.