A unifying perspective on knowledge updates

  • Authors:
  • Martin Slota;João Leite

  • Affiliations:
  • CENTRIA & Departamento de Informática, Universidade Nova de Lisboa, Caparica, Portugal;CENTRIA & Departamento de Informática, Universidade Nova de Lisboa, Caparica, Portugal

  • Venue:
  • JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
  • Year:
  • 2012

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Abstract

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.