Название: Semantic Web Technologies and Applications in Artificial Intelligence of Things
Автор: Fernando Ortiz-Rodriguez, Amed Leyva-Mederos, Sanju Tiwari, Ania R. Hernandez-Quintana
Издательство: IGI Global
Год: 2024
Страниц: 502
Язык: английский
Формат: pdf (true), epub
Размер: 34.1 MB

The confluence of Artificial Intelligence of Things (AIoT) and Semantic Web technologies is nothing short of revolutionary. The profound impact of this synergy extends far beyond the realms of industry, research, and society; it shapes the very fabric of our future. Semantic Web Technologies and Applications in Artificial Intelligence of Things is a meticulously crafted reference that not only acknowledges this significance but also serves as a guide for those navigating the complexities of Industry 4.0 and AIoT.

This curated compendium of cutting-edge technologies acts as a veritable knowledge base for future developments. As academics, scholars, and industry professionals, the ideal audience of this book, will find meticulously curated content that caters to their diverse interests and expertise, covering topics ranging from smart agriculture, manufacturing, industry, health sciences, and government. Seasoned academics, students, and visionary industry leaders, will find this book to be an indispensable guide that paves the way for innovation and progress.

The topics covered within the book’s pages encompass the most critical aspects of AIoT and semantic web integration, ensuring the audience gains in-depth insights into the intricacies of this technological convergence. Readers will find themselves equipped with the knowledge and insights needed to navigate the evolving landscape of technology and contribute to the shaping of our future society. This exploration of the AIoT-Semantic Web convergence offers a chance to pioneer the future of innovation and progress.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Advances in Manufacturing Applications
Applications and Artifacts Interoperability
Architectures For Open and Linked Data
Artificial Intelligence of Things
Health Sciences Applications
Integration of Data in Artificial Intelligence of Things and Semantic Web
Model and Learning Algorithms and Machine Learning
Representation of Data in Artificial Intelligence of Things and Semantic Web
Search And Retrieval of Information
Semantic Web Applications and Public Services
Semantic Web Control Models
Smart Agriculture Applications
Usability in Artificial Intelligence of Things Application Environments
Usability in Semantic Web