Probabilistic multi-context systems

Authors:
Marco Sotomayor;Kewen Wang;Yidong Shen;John Thornton
Affiliations:
Griffith University, Australia;Griffith University, Australia;Institute of Software, Chinese Academy of Sciences, China;Griffith University, Australia
Venue:
JIST'11 Proceedings of the 2011 joint international conference on The Semantic Web
Year:
2011

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Abstract

The concept of contexts is widely used in artificial intelligence. Several recent attempts have been made to formalize multi-context systems (MCS) for ontology applications. However, these approaches are unable to handle probabilistic knowledge. This paper introduces a formal framework for representing and reasoning about uncertainty in multi-context systems (called p-MCS). Some important properties of p-MCS are presented and an algorithm for computing the semantics is developed. Examples are also used to demonstrate the suitability of p-MCS.