Semantic IoT System for Indoor Environment Control – A Sparql and SQL based hybrid model

The realization of Internet of Things (IoT) has gained momentum in the past few years. The main idea is to connect devices with disparate data formats learn, integrate, and communicate to provide intelligent services to humans. These devices generate a large amount of data with various data formats, resulting in some issues i.e. interoperability and data volume. In this paper we have addressed both the problems with a hybrid approach utilizing both semantic and data base technologies. Our research study is based on modelling a context ontology and a database schema to store sensor context data and to control actuators in an environment. An architecture based on IoT system for an indoor environment control is proposed that collects sensor and actuator data as well as its location information and provide it to the external users or applications.