This book is a guide to the combination of the Internet of Things (IoT) and the Semantic Web, covering a variety of tools, technologies and applications that serve the myriad needs of the researchers in this field. It provides a multi dimensional view of the concepts, tools, techniques and issues that are involved in the development of semantics for the Web of Things.
The various aspects studied in this book include Multi-Model Multi-Platform (SHM3P) databases for the IoT, clustering techniques for discovery services for the semantic IoT, dynamic security testing methods for the Semantic Web of Things, Semantic Web-enabled IoT integration for a smart city, IoT security issues, the role of the Semantic Web of Things in Industry 4.0, the integration of the Semantic Web and the IoT for e-health, smart healthcare systems to monitor patients, Semantic Web-based ontologies for the water domain, science fiction and searching for a job.
Table of Contents
- Cover
- Title Page
- Copyright Page
- Preface
- 1 The Role of Semantic Hybrid Multi-Model Multi-Platform (SHM3P) Databases for IoT
- 2 A Systematic Review of Ontologies for the Water Domain
- 3 Semantic Web Approach for Smart Health to Enhance Patient Monitoring in Resuscitation
- 4 Role of Clustering in Discovery Services for the Semantic Internet of Things
- 5 Dynamic Security Testing Techniques for the Semantic Web of Things
- 6 SciFiOnto
- 7 Semantic Web-Enabled IoT Integration for a Smart City
- 8 Heart Rate Monitoring Using IoT and AI
- 9 IoT Security Issues and Its Defensive Methods
- 10 Elucidating the Semantic Web of Things for Making the Industry 4.0 Revolution a Success
- 11 Semantic Web and Internet of Things in e-Health for Covid-19
- 12 Development of a Semantic Web Enabled Job_Search Ontology System
- List of Authors
- Index
- Other titles from iSTE in Interdisciplinarity, Science and Humanities
- End User License Agreement