On the Evolution of Ontologies using Probabilistic Descript...

On the Evolution of Ontologies using Probabilistic Description Logics

inproceedings
Abraham Bernstein, Thomas Scharrenbach
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 rst-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. Dierent scenarios are presented for the automatic handling of inconsistencies during ontology evolution.
On the Evolution of Ontologies using Probabilistic Description Logics
2009
CEUR Workshop Proceedings
Heraklion, Greece
June
474
Proceedings of the First ESWC Workshop on Inductive Reasoning and Machine Learning on the Semantic Web
ddis