Towards Automation of IoT Analytics
Sounak Dey, Arijit Mukherjee · Advances in computational intelligence and robotics book series · 2017
The rapid growth in the number of sensors deployed at various scenarios and domains has resulted in the demand of smart applications and services which can take advantage of the sensor ubiquity and the Internet of Things paradigm. However, IoT analytic applications are grossly different from typical IT applications in the sense that in case of IoT, the physical world model is absolutely essential to understand the meaning of sensor data and context. It is also unreasonable to assume that application developers will possess all the necessary skills such as signal processing, algorithms, domain and deployment infrastructures. The scenario is more complicated because of overlapping domains and variety of knowledge. Researchers have attempted to automate parts of the development process, but, the area of feature engineering for sensor signals remain relatively untouched. In this chapter, the authors discuss about the use of semantic modeling for IoT application development with respect to a framework that is capable of largely automating parts of IoT application development.