Managing the Web of Things: Linking the Real World to the Web presents a consolidated and holistic coverage of engineering, management, and analytics of the Internet of Things. The web has gone through many transformations, from traditional linking and sharing of computers and documents (i.e., Web of Data), to the current connection of people (i.e., Web of People), and to the emerging connection of billions of physical objects (i.e., Web of Things).
With increasing numbers of electronic devices and systems providing different services to people, Web of Things applications present numerous challenges to research institutions, companies, governments, international organizations, and others. This book compiles the newest developments and advances in the area of the Web of Things, ranging from modeling, searching, and data analytics, to software building, applications, and social impact.
Its coverage will enable effective exploration, understanding, assessment, comparison, and the selection of WoT models, languages, techniques, platforms, and tools. Readers will gain an up-to-date understanding of the Web of Things systems that accelerates their research.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. List of Contributors - p. ix 6. About the Editors - p. xv 7. Preface - p. xvii 8. Part 1: Modeling and Searching - p. xviii 9. Chapter 1: Ontologies and context modeling for the Web of Things - p. xviii 10. Chapter 2: The Anatomy of An Intent Based Search and Crawler Engine for the Web of Things - p. 36 11. Chapter 3: Modeling RESTful Web of Things Services - p. 72 12. Chapter 4: A Semantic-Rich Approach to IoT Using the Generalized World Entities Paradigm - p. 104 13. Part 2: System Building and Practices - p. 147 14. Chapter 5: Building a Web of Things with Avatars - p. 147 15. Chapter 6: A WoT Testbed for Research and Course Projects - p. 180 16. Chapter 7: Using Reference Architectures for Design and Evaluation of Web of Things Systems - p. 204 17. Chapter 8: Efficient and Secure Pull Requests for Emergency Cases Using a Mobile Access Framework - p. 228 18. Part 3: Data Integration and Analytics - p. 247 19. Chapter 9: Automatic Integration and Querying of Semantic Rich Heterogeneous Data - p. 247 20. Chapter 10: Building Entity Graphs for the Web of Things Management - p. 273 21. Chapter 11: Building Interoperable and Cross-Domain Semantic Web of Things Applications - p. 303 22. Chapter 12: Web of Things Data Storage - p. 324 23. Part 4: Applications, Security and Social Impact - p. 354 24. Chapter 13: WoX: Model-Driven Development of Web of Things Applications - p. 354 25. Chapter 14: Security Issues of the Web of Things - p. 387 26. Chapter 15: A Web of Fitness “Things”: An Exploration of Social Impacts & Vulnerable Populations - p. 424 27. Index - p. 449
Managing the Web of Things: Linking the Real World to the Web presents a consolidated and holistic coverage of engineering, management, and analytics of the Internet of Things. The web has gone through many transformations, from traditional linking and sharing of computers and documents (i.e., Web of Data), to the current connection of people (i.e., Web of People), and to the emerging connection of billions of physical objects (i.e., Web of Things).
With increasing numbers of electronic devices and systems providing different services to people, Web of Things applications present numerous challenges to research institutions, companies, governments, international organizations, and others. This book compiles the newest developments and advances in the area of the Web of Things, ranging from modeling, searching, and data analytics, to software building, applications, and social impact.
Its coverage will enable effective exploration, understanding, assessment, comparison, and the selection of WoT models, languages, techniques, platforms, and tools. Readers will gain an up-to-date understanding of the Web of Things systems that accelerates their research.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. List of Contributors - p. ix 6. About the Editors - p. xv 7. Preface - p. xvii 8. Part 1: Modeling and Searching - p. xviii 9. Chapter 1: Ontologies and context modeling for the Web of Things - p. xviii 10. Chapter 2: The Anatomy of An Intent Based Search and Crawler Engine for the Web of Things - p. 36 11. Chapter 3: Modeling RESTful Web of Things Services - p. 72 12. Chapter 4: A Semantic-Rich Approach to IoT Using the Generalized World Entities Paradigm - p. 104 13. Part 2: System Building and Practices - p. 147 14. Chapter 5: Building a Web of Things with Avatars - p. 147 15. Chapter 6: A WoT Testbed for Research and Course Projects - p. 180 16. Chapter 7: Using Reference Architectures for Design and Evaluation of Web of Things Systems - p. 204 17. Chapter 8: Efficient and Secure Pull Requests for Emergency Cases Using a Mobile Access Framework - p. 228 18. Part 3: Data Integration and Analytics - p. 247 19. Chapter 9: Automatic Integration and Querying of Semantic Rich Heterogeneous Data - p. 247 20. Chapter 10: Building Entity Graphs for the Web of Things Management - p. 273 21. Chapter 11: Building Interoperable and Cross-Domain Semantic Web of Things Applications - p. 303 22. Chapter 12: Web of Things Data Storage - p. 324 23. Part 4: Applications, Security and Social Impact - p. 354 24. Chapter 13: WoX: Model-Driven Development of Web of Things Applications - p. 354 25. Chapter 14: Security Issues of the Web of Things - p. 387 26. Chapter 15: A Web of Fitness “Things”: An Exploration of Social Impacts & Vulnerable Populations - p. 424 27. Index - p. 449
