Search for Social Smart Objects Constituting Sensor Ontology, Social IoT and Social Network Interaction

R. Vaibhava Lakshmi, G. Deepak, A. Santhanavijayan, S. Radha
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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 %.
寻找构成传感器本体、社会物联网和社会网络交互的社会智能对象
物联网的一个新兴组成部分是社会物联网,它有助于在交互对象之间创建社会关系。SIoT试图通过借鉴社交计算来弥补物联网在信任、资源发现和可扩展性方面的不足。在本文中,我们提出了以知识为中心、本体驱动和数据集驱动的OntoSSSO框架,用于向用户推荐社会相似智能对象。它结合了语义智能。将提供的模型与使用各种性能指标的基线模型进行性能比较。我们的模型优于其他模型,产生95.83%的精度。
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