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Erschienen in:
2012 | OriginalPaper | Buchkapitel
A Unifying Perspective on Knowledge Updates
verfasst von : Martin Slota, João Leite
Erschienen in: Logics in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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We introduce an abstract update framework based on viewing a knowledge base as the
set of sets of models
of its elements and performing updates by introducing additional interpretations –
exceptions
– to the sets of models of elements of the original knowledge base. In [36], an instantiation of this framework for performing rule updates has been shown to semantically characterise one of the syntax-based
rule update semantics
. In this paper we show that the framework can also capture a wide range of both model- and formula-based belief update operators which constitute the formal underpinning of existing approaches to
ontology updates
. Exception-driven operators thus form a unifying perspective on both ontology and rule updates, opening new possibilities for addressing
updates of hybrid knowledge bases
consisting of both an ontology and a rule component.