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Published in:
2013 | OriginalPaper | Chapter
Ontology Adaptation upon Updates
Authors : Alessandro Solimando, Giovanna Guerrini
Published in: The Semantic Web: ESWC 2013 Satellite Events
Publisher: Springer Berlin Heidelberg
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Ontologies, like any other model, change over time due to modifications in the modeled domain, deeper understanding of the domain by the modeler, error corrections, simple refactoring or shift of modeling granularity level. Local changes usually impact the remainder of the ontology as well as any other data and metadata defined over it. The massive size of ontologies and their possible fast update rate requires automatic adaptation methods for relieving ontology engineers from a manual intervention, in order to allow them to focus mainly on high-level inspection. This paper, in spirit of the
Principle of minimal change
, proposes a fully automatic ontology adaptation approach that reacts to ontology updates and computes sound reformulations of ontological axioms triggered by the presence of certain preconditions. The rule-based adaptation algorithm covers up to
$\mathcal{SROIQ}$
DL.