The admiration of social networks (SNs) and the advent of the Internet of Things (IoT) direct to a new research paradigm called Social IoT (SIoT), where real-world physical objects can form their own SN like the human SN. This effort leads to an immense possibility of unique applications for a smart cognitive society. However, it is still a challenge to explore these applications due to a lack of an adequate SIoT framework, where SIoT nodes can be controlled, managed, and monitored in real-time under a cognitive framework. Hence, in this paper, we propose a framework to create, manage, control, and monitor the SIoT objects intelligently and cognitively in real-time. In our proposed framework, we enable virtual representation of real-world objects known as virtual objects (VOs) and ensure their relationship semantically to compose new services by combining VOs and called composite VOs. Additionally, we identify special skills (e.g., expertise, and/or willingness to help others, etc.) as abstract objects. We also enable real-time interaction by using stream processing techniques. We also evaluated the performance of VO selection to understand the resource consumption and latency during the process.
Bibliographical noteFunding Information:
Manuscript received June 22, 2017; revised November 9, 2017; accepted November 15, 2017. Date of publication December 1, 2017; date of current version August 9, 2018. This work was supported by the Science Foundation Ireland under Grant SFI/12/RC/2289. (Corresponding author: Zia Ush Shamszaman.) The authors are with the Insight Centre for Data Analytics, National University of Ireland at Galway, Galway, Ireland (e-mail: firstname.lastname@example.org; email@example.com). Digital Object Identifier 10.1109/JIOT.2017.2779106
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