This paper presents a conceptual framework and multi-agent model for context-aware decision support in dynamic smart environments based on heterogeneous knowledge sources. The framework relies on distributed ontologies and allows us to model context-aware agents which reason using rules that are derived from ontologies using the notion of multi-context systems. The use of the proposed framework is illustrated using a simple system developed from ontologies considering three different smart environment domains.
CITATION STYLE
Ul Haque, H. M., Rakib, A., & Uddin, I. (2017). Modelling and reasoning about context-aware agents over heterogeneous knowledge sources. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 193, pp. 1–11). Springer Verlag. https://doi.org/10.1007/978-3-319-56357-2_1
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