Intelligent data analysis using SSN ontology for streaming reasoning capability
Monika Rani, Ranjana Vyas, Sahil Chaudhary, Sandeep Sharma, Alok Baitiyal, Aaditya Tomar, Om Prakash Vyas · 2017
With the growing popularity of sensors and the advent of Internet of Things (IoT), there is exponential growth in data. Sensors are collecting data for various domains like traffic, predictive maintenance, equipment health, meteorology etc. Mostly, data collected by IoT devices or sensors is of heterogeneous format which is difficult to interpret and integrate. With the rise in applications of sensors there is a need to manage, store and intelligently analyse this data stream. The SSN Ontology can describe sensors in terms of capabilities, measurement processes, observations, and deployments. In this paper, we propose a framework using ontologies and JADE Agents to intelligently analyse and handle the streaming data. Furthermore, JADE Agents allows dynamically monitoring and updating of the knowledge base.