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Context-Based Intelligent Service for Healthcare Applications
Abstract
The chapter presents an approach to implementation of an intelligent service for decision support in healthcare logistics taking an advantage of the knowledge logistics idea. The approach is based on synergistic integration of knowledge acquired from distributed sources in order to obtain new or complement insufficient knowledge. The approach is based on the methodology that assumes three levels of information integration. The application domain is described via an application ontology using the formalism of object-oriented constraint networks. The problem is represented by an abstract context that is obtained as a result of the slicing operation on the application ontology. Finally, filling the abstract context with up-to-date information about the current situation produces an operational context. Contexts of both types share the same knowledge representation formalism that is used by the application ontology. As a result the operational context can be considered as a constraint satisfaction problem. Solving this task produces feasible decisions in the current situation.
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