R. Vaibhava Lakshmi, G. Deepak, A. Santhanavijayan, S. Radha
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引用次数: 0
Abstract
An emerging constituent of Internet of Things is the Social IoT, which aids creation of Social relationships amongst interacting objects. SIoT attempts to moderate the shortcomings of IoT in the areas of trust, resource discovery and scalability by taking a cue from social computing. In this paper, we have proposed the OntoSSSO framework for recommending Socially Similar Smart objects to users, which is knowledge-centric, ontology-driven and dataset-driven. It incorporates Semantic Intelligence. The proffered model is compared for performance along with the baseline models using sundry performance metrics. Our model outperforms the other models, yielding a precision of 95.83 %.