Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-25863
Scharrenbach, T; Bernstein, A (2009). On the evolution of ontologies using probabilistic description logics. In: First ESWC Workshop on Inductive Reasoning and Machine Learning on the Semantic Web, Heraklion, Greece, June 2009 - June 2009.
Exceptions play an important role in conceptualizing data,
especially when new knowledge is introduced or existing knowledge changes. Furthermore, real-world data often is contradictory and uncertain.
Current formalisms for conceptualizing data like Description Logics rely upon first-order logic. As a consequence, they are poor in addressing exceptional, inconsistent and uncertain data, in particular when evolving the knowledge base over time.
This paper investigates the use of Probabilistic Description Logics as a formalism for the evolution of ontologies that conceptualize real-world data. Different scenarios are presented for the automatic handling of inconsistencies
during ontology evolution.
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|Item Type:||Conference or Workshop Item (Paper), refereed, original work|
|Communities & Collections:||03 Faculty of Economics > Department of Informatics|
|Dewey Decimal Classification:||000 Computer science, knowledge & systems|
|Event End Date:||June 2009|
|Deposited On:||04 Feb 2010 11:27|
|Last Modified:||05 Apr 2016 13:39|
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