Towards a Taxonomy and Software Architecture for Data Processing and Contextualization for the Internet of Things

Abstract

Nowadays, the Internet of Things (IoT) and intelligent decision-making systems are growing exponentially, rising new needs to be addressed. Although we can currently find a large number of IoT applications that can process huge amounts of data in real time, it is difficult to find solutions that integrate data from different application domains for further contextualization and personalization of the offered services. To address this gap, we propose a taxonomy and a context-aware software architecture. The taxonomy will allow the description of data from different domains according to current needs and their use for further contextualization of smart applications. Through the software architecture it will be possible to easily integrate and correlate, thanks to the use of taxonomy, data from different application domains, processing large amounts of data in real time, and enabling the development of smarter decision making systems.