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Intelligent service provisioning for smart ageing requires not only the current status of smart objects, but also the knowledge of the service and its surrounding environment. Hence, context information is detected by processing the stream of data and the situation is recognized by reasoning them to project the prediction of the service environment as well as to update the knowledge. Knowledge based IoT service provisioning can be achieved in terms of virtual objects and composite virtual objects in the Web-of-Objects platform. Web-of-Objects allows the semantic ontology to virtualize the objects, which can express the knowledge through the interrelation of the virtual objects. This paper proposes a knowledge creation model in Web-of-Objects platform that helps in learning the status of the objects to update the knowledge through machine learning technique, which has been considered in service request analysis for user-centric service provisioning. To realize the intelligent service features, a use case scenario has been studied and a prototype has been implemented.
Kibria et al. (Fri,) studied this question.