IIC Journal of Innovation 5th Edition | Page 57

A Knowledge Graph Driven Approach for Edge Analytics heterogeneous environment construction and mining company as follows:   decoupling of HW and SW, as well as message management. Our knowledge- driven approach simplifies industrial and commercial entities requiring IoT deployments to easily develop, reuse and seamlessly deploy applications to existing, heterogeneous collections of edge devices through a manageable and scalable framework. Our framework provides an abstraction layer that enables collaboration between the different IoT stakeholders (Device Expert, Application Expert and Field Engineer) and allows each role to focus on their area of domain expertise. This abstraction layer provided by the knowledge graph seamlessly tracks and manages the multitude of hardware and software parameters present in existing heterogeneous deployments and, coupled with containerization techniques, enables the development and deployment of applications anywhere in the edge deployment topology. K