Enhancing Usability and Control in Artificial Intelligence of Things Environments (AIoT) Through Semantic Web Control Models

Abstract

The chapter discusses the usability of artificial intelligence of things (AIoT) applications, emphasizing the complexity of these systems and the need for intuitive interfaces. It emphasizes the need to address system complexity, user interaction issues, and interface design hurdles for effective AIoT deployment. The chapter introduces Semantic Web control models, leveraging technologies like RDF, OWL, and SPARQL, to enhance usability in AIoT environments. It presents real-world case studies and successful implementations, highlighting the effectiveness of these models. The chapter also discusses future directions and challenges in AIoT usability, including emerging trends, obstacles, and research opportunities. The chapter concludes that usability is crucial in AIoT applications, and addressing these challenges and leveraging Semantic Web technologies can promote widespread adoption and unlock the full potential of AIoT.