Modelling and reasoning about context-aware agents over heterogeneous knowledge sources

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017. 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