Development of Artificial Intelligence of Things and Cloud Computing Environments Through Semantic Web Control Models-Reference-Cited by-同舟云学术

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

Published:2024-02-23 Issue: Volume: Page:112-143
ISSN:1948-9730
Container-title:Advances in Information Security, Privacy, and Ethics
language:
Short-container-title:

Author:

Revathi B.¹,Hamsa S.²,Shaik Nazeer³^ORCID,Satpathy Susanta Kumar⁴,Hari ⁵^ORCID,Myilsamy Sureshkumar⁶

Affiliation:

1. Department of Artificial Intelligence and Data Science, Jaishriram Engineering College, Tirupur, India

2. Department of Electronics and Communication Engineering, Jyothy Institute of Technology, India

3. Department of Computer Science and Engineering, Srinivasa Ramanujan Institute of Technology (SRIT), India

4. Department of Computer Science and Engineering, Vignan Foundation of Science, Technology, and Research, Guntur, India

5. Department of Mechanical Engineering, Kongu Engineering College, Erode, India

6. Bannari Amman Institute of Technology, Erode, India

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.

Publisher

IGI Global

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