Semantic Reasoning for Context-aware Internet of Things Applications
This work tackles the problem of enhancing IoT application intelligence for industries and everyday users, but it appears incremental as it builds on existing ICT advances without specifying novel breakthroughs.
The paper addresses the challenge of enabling context-aware Internet of Things (IoT) applications by leveraging semantic reasoning to process real-time data from interconnected objects, aiming to improve energy and cost efficiency and automation across industries like transportation, healthcare, and manufacturing.
Advances in ICT are bringing into reality the vision of a large number of uniquely identifiable, interconnected objects and things that gather information from diverse physical environments and deliver the information to a variety of innovative applications and services. These sensing objects and things form the Internet of Things (IoT) that can improve energy and cost efficiency and automation in many different industry fields such as transportation and logistics, health care and manufacturing, and facilitate our everyday lives as well. IoT applications rely on real-time context data and allow sending information for driving the behaviors of users in intelligent environments.