A context-aware knowledge acquisition for planning applications using
  ontologies
  Automated planning technology has developed significantly. Designing a
planning model that allows an automated agent to be capable of reacting
intelligently to unexpected events in a real execution environment yet remains
a challenge. This article describes a domain-independent approach to allow the
agent to be context-aware of its execution environment and the task it
performs, acquire new information that is guaranteed to be related and more
importantly manageable, and integrate such information into its model through
the use of ontologies and semantic operations to autonomously formulate new
objectives, resulting in a more human-like behaviour for handling unexpected
events in the context of opportunities.
