Development of Artificial Intelligence of Things and Cloud Computing Environments Through Semantic Web Control Models

Abstract

This chapter delves into the integration of artificial intelligence of things (AIoT) with cloud computing environments, facilitated by semantic web control models. It explores how leveraging semantic technologies can enhance the interoperability, intelligence, and efficiency of AIoT systems within cloud infrastructures. The chapter begins by elucidating the foundational concepts of AIoT, cloud computing, and the Semantic Web. It then discusses the challenges associated with integrating AIoT devices and cloud platforms, such as data heterogeneity, interoperability issues, and security concerns. Next, it presents various semantic web control models and their applicability in AIoT-cloud integration, including ontology-based reasoning, knowledge representation, and semantic interoperability standards. Furthermore, the chapter analyzes case studies and practical implementations showcasing the benefits of employing Semantic Web control models in AIoT-cloud environments. Lastly, it outlines future research directions and potential advancements in this burgeoning field.