Optimizations for Decision Making and Planning in Description Logic
  Dynamic Knowledge Bases
  Artifact-centric models for business processes recently raised a lot of
attention, as they manage to combine structural (i.e. data related) with
dynamical (i.e. process related) aspects in a seamless way. Many frameworks
developed under this approach, although, are not built explicitly for planning,
one of the most prominent operations related to business processes. In this
paper, we try to overcome this by proposing a framework named Dynamic Knowledge
Bases, aimed at describing rich business domains through Description
Logic-based ontologies, and where a set of actions allows the system to evolve
by modifying such ontologies. This framework, by offering action rewriting and
knowledge partialization, represents a viable and formal environment to develop
decision making and planning techniques for DL-based artifact-centric business
domains.
