Abstract
We present asynchronous multi-context systems (aMCSs), a framework for loosely coupling different knowledge representation formalisms that allows for online reasoning in a dynamic environment. An aMCS interacts 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.
This work has been partially supported by the German Research Foundation (DFG) under grants BR-1817/7-1 and FOR 1513. An earlier version of this paper appeared in the proceedings of ReactKnow 2014 [11].
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Ellmauthaler, S., Pührer, J. (2015). Asynchronous Multi-Context Systems. In: Eiter, T., Strass, H., Truszczyński, M., Woltran, S. (eds) Advances in Knowledge Representation, Logic Programming, and Abstract Argumentation. Lecture Notes in Computer Science(), vol 9060. Springer, Cham. https://doi.org/10.1007/978-3-319-14726-0_10
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DOI: https://doi.org/10.1007/978-3-319-14726-0_10
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