Asynchronous Multi-Context Systems
This provides a framework for loosely coupling knowledge systems in dynamic domains, but it is incremental as it builds on existing multi-context systems.
The paper tackles the problem of integrating diverse knowledge representation formalisms for online reasoning in dynamic environments by introducing asynchronous multi-context systems (aMCSs), which enable asynchronous communication between contexts to improve scalability and fit application needs like rescue services.
In this work, we present asynchronous multi-context systems (aMCSs), which provide a framework for loosely coupling different knowledge representation formalisms that allows for online reasoning in a dynamic environment. Systems of this kind may interact with the outside world via input and output streams and may therefore react to a continuous flow of external information. In contrast to recent proposals, contexts in an aMCS communicate with each other in an asynchronous way which fits the needs of many application domains and is beneficial for scalability. The federal semantics of aMCSs renders our framework an integration approach rather than a knowledge representation formalism itself. We illustrate the introduced concepts by means of an example scenario dealing with rescue services. In addition, we compare aMCSs to reactive multi-context systems and describe how to simulate the latter with our novel approach.