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Managing the Web of Things - 1st Edition - ISBN: 9780128097649, 9780128097656

Managing the Web of Things

1st Edition

Linking the Real World to the Web

Editors: Michael Sheng Yongrui Qin Lina Yao Boualem Benatallah
eBook ISBN: 9780128097656
Paperback ISBN: 9780128097649
Imprint: Morgan Kaufmann
Published Date: 8th February 2017
Page Count: 482
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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.

Key Features

  • Offers a comprehensive and systematic presentation of the methodologies, technologies, and applications that enable efficient and effective management of the Internet of Things
  • Provides an in-depth analysis on the state-of-the-art Web of Things modeling and searching technologies, including how to collect, clean, and analyze data generated by the Web of Things
  • Covers system design and software building principles, with discussions and explorations of social impact for the Web of Things through real-world applications
  • Acts as an ideal reference or recommended text for graduate courses in cloud computing, service computing, and more


Researchers, postgraduate students, communications and network engineers, solution architects, system integrators, system managers interested in the areas of the Web of Things and related computational technologies

Table of Contents

Part 1: Modeling and Searching

Chapter 1: Ontologies and context modeling for the Web of Things

  • Abstract
  • Acknowledgements
  • 1.1. Introduction
  • 1.2. Taxonomy and Comparison Framework
  • 1.3. Cross Domain Models
  • 1.4. Domain Models
  • 1.5. Discussion and Outlook
  • 1.6. Conclusions
  • References

Chapter 2: The Anatomy of An Intent Based Search and Crawler Engine for the Web of Things

  • Abstract
  • 2.1. Introduction
  • 2.2. Motivating Scenario
  • 2.3. Identifying Data Sources
  • 2.4. ThingSeek Crawler Engine
  • 2.5. ThingSeek Search Engine
  • 2.6. ThingSeek in Application: Flight Delay Analysis
  • 2.7. Things Data Analysis
  • 2.8. Discussions
  • 2.9. Related Work
  • 2.10. Conclusion
  • References

Chapter 3: Modeling RESTful Web of Things Services

  • Abstract
  • Acknowledgements
  • 3.1. Introduction
  • 3.2. Background
  • 3.3. State of the Art in Mashup Tools
  • 3.4. Model-Driven Engineering for WoT
  • 3.5. Comparing Mashup and Model-Driven Engineering Approaches
  • 3.6. Modeling of RESTful Services
  • 3.7. Modeling WoT Systems with Generic RESTful Operations
  • 3.8. Conclusions
  • References

Chapter 4: A Semantic-Rich Approach to IoT Using the Generalized World Entities Paradigm

  • Abstract
  • Acknowledgements
  • 4.1. Introduction
  • 4.2. State of the Art on Conceptual/Semantic IoT/WoT
  • 4.3. Deepening the GWE Notion
  • 4.4. An Architecture for the GWE Paradigm
  • 4.5. Implementation of the GWEs Paradigm
  • 4.6. Conclusions
  • References

Part 2: System Building and Practices

Chapter 5: Building a Web of Things with Avatars

  • Abstract
  • Acknowledgements
  • 5.1. Introduction
  • 5.2. Motivating Scenario
  • 5.3. Avatars and Avatar-Based WoT Platforms
  • 5.4. Disruption-Tolerant Communications
  • 5.5. Context Modeling and Management
  • 5.6. A Social Vision of the Web of Things
  • 5.7. Conclusion
  • References

Chapter 6: A WoT Testbed for Research and Course Projects

  • Abstract
  • 6.1. What you need to get started
  • 6.2. Introduction
  • 6.3. WoT Features and Challenges
  • 6.4. A Brief Survey of IoT and WoT Testbeds
  • 6.5. Hardware and Software Components of a WoT Testbed
  • 6.6. Experiments for the WoT
  • 6.7. Project: Building a Testbed for the WoT
  • 6.8. Summary
  • References

Chapter 7: Using Reference Architectures for Design and Evaluation of Web of Things Systems

  • Abstract
  • Acknowledgements
  • 7.1. Introduction
  • 7.2. Architecture Design Considerations for Web of Things Systems
  • 7.3. A Case Study on Application of the Approach in Smart Homes Domain
  • 7.4. Related Work
  • 7.5. Conclusions and Lessons Learned
  • References

Chapter 8: Efficient and Secure Pull Requests for Emergency Cases Using a Mobile Access Framework

  • Abstract
  • Acknowledgements
  • 8.1. Introduction
  • 8.2. Related Work
  • 8.3. Design of the SPR Solution
  • 8.4. Evaluation
  • 8.5. Summary and Conclusion
  • References

Part 3: Data Integration and Analytics

Chapter 9: Automatic Integration and Querying of Semantic Rich Heterogeneous Data

  • Abstract
  • 9.1. Introduction
  • 9.2. Building the Semantic Web of Things (SWoT)
  • 9.3. Semantic Web as Enabler of SWoT
  • 9.4. Case Studies: Smart Applications
  • 9.5. Conclusion
  • References

Chapter 10: Building Entity Graphs for the Web of Things Management

  • Abstract
  • 10.1. Introduction
  • 10.2. Background
  • 10.3. Proposed Methodology
  • 10.4. Applicability of DisCor-T: Things Classification
  • 10.5. Applicability of DisCor-T: Things Recommendation
  • 10.6. Experiments
  • 10.7. Related Work
  • 10.8. Conclusion
  • References

Chapter 11: Building Interoperable and Cross-Domain Semantic Web of Things Applications

  • Abstract
  • Acknowledgements
  • 11.1. Introduction: Understanding Trends and the Evolution
  • 11.2. Related Work and Challenges Identification
  • 11.3. Contributions and M3 framework
  • 11.4. Summary and Future Work
  • References

Chapter 12: Web of Things Data Storage

  • Abstract
  • 12.1. Introduction
  • 12.2. The Framework of WoT Data Storage
  • 12.3. Methods and Challenge of WoT Data Storage
  • 12.4. WoT Data Storage in Cloud Platform
  • 12.5. Tendency for WoT Data Storage Technology
  • 12.6. Conclusion
  • References

Part 4: Applications, Security and Social Impact

Chapter 13: WoX: Model-Driven Development of Web of Things Applications

  • Abstract
  • Acknowledgements
  • 13.1. Introduction
  • 13.2. State of the Art
  • 13.3. Open Issues and Challenges
  • 13.4. The Web of Topics (WoX) Model
  • 13.5. Design and Implementation
  • 13.6. Proof of Concepts
  • 13.7. Conclusions and Future Work
  • References

Chapter 14: Security Issues of the Web of Things

  • Abstract
  • Acknowledgement
  • 14.1. Introduction: From IoT to WoT
  • 14.2. The Existing Security Models
  • 14.3. Security in the Web of Things
  • 14.4. Conclusion
  • References

Chapter 15: A Web of Fitness “Things”: An Exploration of Social Impacts & Vulnerable Populations

  • Abstract
  • 15.1. Web of Things and Health: An Introduction
  • 15.2. Potential Positive Implications for Health
  • 15.3. Potential Challenges and Unintended Consequences for Social Health
  • 15.4. Implications
  • References


No. of pages:
© Morgan Kaufmann 2017
8th February 2017
Morgan Kaufmann
eBook ISBN:
Paperback ISBN:

About the Editors

Michael Sheng

Michael Sheng is a full Professor and Head of Department of Computing at Macquarie University, Sydney, Australia. Before moving to Macquarie University, Michael spent 10 years at School of Computer Science, the University of Adelaide (UoA). Prof. Sheng has more than 400 publications as edited books and proceedings, refereed book chapters, and refereed technical papers in journals and conferences. He is ranked by Microsoft Academic as one of the Top Authors in Services Computing (ranked the 5th of All Time worldwide). He is the recipient of the AMiner Most Influential Scholar Award on IoT (2007-2017), ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003).

Affiliations and Expertise

Professor and Head of Department of Computing, Macquarie University, Sydney, Australia

Yongrui Qin

Yongrui Qin is currently a Lecturer at School of Computing and Engineering, University of Huddersfield, United Kingdom. His main research interests include the Internet of Things, Graph Data Management, Data Stream Processing, Data Mining, Information Retrieval, Semantic Web, Computer Networks, and Mobile Computing. Dr. Qin has published more than 40 refereed technical papers, including publications in prestigious journals, such as IEEE Trans. on Parallel Distributed Systems, World Wide Web Journal, Journal of Network and Computer Applications, and IEEE Internet Computing, as well as top international conferences, such as SIGIR, EDBT, CIKM, WISE, DASFAA, and SSDBM.

Affiliations and Expertise

Lecturer, University of Huddersfield, UK

Lina Yao

Lina Yao is currently a Lecturer at School of Computer Science and Engineering, the University of New South Wales. Her research interest lies in Data Mining, Internet of Things Analytics, Ubiquitous Computing, and Service Computing. Her work has published in a wide range of prestigious journals such as ACM Trans. on Intelligent Systems and Technology (TIST), ACM Trans. on Internet Technology (TOIT), IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Trans. on Knowledge Discovery and Engineering (TKDE), IEEE Internet Computing, ACM Trans. on Knowledge Discovery (TKDD) and IEEE Trans. on Services Computing (TSC), as well as top international conferences such as SIGIR, ICDM, UbiComp, CIKM and ICSOC. She is the recipient of Australian Research Council Discovery Early Career Researcher Award (2015) and is recognized as Inaugural Vice Chancellor's Women's Research Excellence Award (2015).

Affiliations and Expertise

Lecturer at School of Computer Science and Engineering, the University of New South Wales, Australia

Boualem Benatallah

Boualem Benatallah is currently a Scientia Professor at the School of Computer Science and Engineering, the University of New South Wales. Prof. Benatallah’s research focuses on Web service protocol analysis and management, enterprise services integration, large scale data sharing, cloud computing, and the Internet of Things (IoT). He is the leader of the Service Oriented Computing research group and has more than 220 research papers in leading international journals and conference proceedings. Prof. Benatallah’s research has been heavily cited by his international peers. He has more than 14,000 citations with an H-index of 52, according to Google Scholar.

Affiliations and Expertise

Scientia Professor, School of Computer Science and Engineering, University of New South Wales, Australia


"...a collection of 15 standalone papers, assembled into four sections, covering selected aspects of an emerging and fast-moving field generically described as the Internet of Things (IoT), or more recently the Web of Things (WoT)."--Computing Reviews

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