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E-raamat: Managing the Web of Things: Linking the Real World to the Web

Edited by (Professor and Head of Department of Computing, Macquarie University, Sydney, Australia), Edited by , Edited by (Lecturer at School of Computer Science and Engineering, the University of New South Wales, Australia), Edited by (Lecturer, University of Huddersfield, UK)
  • Formaat: 482 pages
  • Ilmumisaeg: 10-Feb-2017
  • Kirjastus: Morgan Kaufmann Publishers In
  • Keel: eng
  • ISBN-13: 9780128097656
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Managing the Web of Things: Linking the Real World to the WebSuurem pilt
  • Formaat: 482 pages
  • Ilmumisaeg: 10-Feb-2017
  • Kirjastus: Morgan Kaufmann Publishers In
  • Keel: eng
  • ISBN-13: 9780128097656
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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.

  • 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

Arvustused

"...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

Muu info

Holistic view that includes state-of-the-art technology advances, developments, trends, and their evolution in the Internet of Things
List of Contributors
ix
About the Editors xv
Preface xvii
PART 1 MODELING AND SEARCHING
Chapter 1 Ontologies and Context Modeling for the Web of Things
3(34)
1.1 Introduction
3(2)
1.2 Taxonomy and Comparison Framework
5(3)
1.3 Cross Domain Models
8(18)
1.4 Domain Models
26(3)
1.5 Discussion and Outlook
29(2)
1.6 Conclusions
31(6)
References
32(4)
Acknowledgements
36(1)
Chapter 2 The Anatomy of an Intent Based Search and Crawler Engine for the Web of Things
37(36)
2.1 Introduction
37(2)
2.2 Motivating Scenario
39(3)
2.3 Identifying Data Sources
42(2)
2.4 ThingSeek Crawler Engine
44(2)
2.5 ThingSeek Search Engine
46(3)
2.6 ThingSeek in Application: Flight Delay Analysis
49(6)
2.7 Things Data Analysis
55(8)
2.8 Discussions
63(4)
2.9 Related Work
67(2)
2.10 Conclusion
69(4)
References
70(3)
Chapter 3 Modeling RESTful Web of Things Services
73(32)
3.1 Introduction
73(2)
3.2 Background
75(2)
3.3 State of the Art in Mashup Tools
77(6)
3.4 Model-Driven Engineering for WoT
83(2)
3.5 Comparing Mashup and Model-Driven Engineering Approaches
85(3)
3.6 Modeling of RESTful Services
88(8)
3.7 Modeling WoT Systems with Generic RESTful Operations
96(4)
3.8 Conclusions
100(5)
References
100(4)
Acknowledgements
104(1)
Chapter 4 A Semantic-Rich Approach to IoT Using the Generalized World Entities Paradigm
105(46)
4.1 Introduction
105(2)
4.2 State of the Art on Conceptual/Semantic IoT/WoT
107(14)
4.3 Deepening the GWE Notion
121(6)
4.4 An Architecture for the GWE Paradigm
127(4)
4.5 Implementation of the GWEs Paradigm
131(10)
4.6 Conclusions
141(10)
References
142(5)
Acknowledgements
147(4)
PART 2 SYSTEM BUILDING AND PRACTICES
Chapter 5 Building a Web of Things with Avatars
151(30)
5.1 Introduction
152(1)
5.2 Motivating Scenario
153(2)
5.3 Avatars and Avatar-Based WoT Platforms
155(7)
5.4 Disruption-Tolerant Communications
162(4)
5.5 Context Modeling and Management
166(3)
5.6 A Social Vision of the Web of Things
169(5)
5.7 Conclusion
174(7)
References
175(5)
Acknowledgements
180(1)
Chapter 6 A WoT Testbed for Research and Course Projects
181(24)
6.1 What you need to get started
181(1)
6.2 Introduction
181(2)
6.3 WoT Features and Challenges
183(1)
6.4 A Brief Survey of IoT and WoT Testbeds
184(2)
6.5 Hardware and Software Components of a WoT Testbed
186(3)
6.6 Experiments for the WoT
189(6)
6.7 Project: Building a Testbed for the WoT
195(6)
6.8 Summary
201(4)
References
202(3)
Chapter 7 Using Reference Architectures for Design and Evaluation of Web of Things Systems
205(24)
7.1 Introduction
206(1)
7.2 Architecture Design Considerations for Web of Things Systems
207(5)
7.3 A Case Study on Application of the Approach in Smart Homes Domain
212(11)
7.4 Related Work
223(2)
7.5 Conclusions and Lessons Learned
225(4)
References
226(2)
Acknowledgements
228(1)
Chapter 8 Efficient and Secure Pull Requests for Emergency Cases Using a Mobile Access Framework
229(22)
8.1 Introduction
229(2)
8.2 Related Work
231(6)
8.3 Design of the SPR Solution
237(4)
8.4 Evaluation
241(3)
8.5 Summary and Conclusion
244(7)
References
245(2)
Glossary
247(1)
Acknowledgements
247(4)
PART 3 DATA INTEGRATION AND ANALYTICS
Chapter 9 Automatic Integration and Querying of Semantic Rich Heterogeneous Data
251(24)
9.1 Introduction
251(2)
9.2 Building the Semantic Web of Things (SWoT)
253(3)
9.3 Semantic Web as Enabler of SWoT
256(9)
9.4 Case Studies: Smart Applications
265(4)
9.5 Conclusion
269(6)
References
269(6)
Chapter 10 Building Entity Graphs for the Web of Things Management
275(30)
10.1 Introduction
275(5)
10.2 Background
280(2)
10.3 Proposed Methodology
282(7)
10.4 Applicability of DisCor-T: Things Classification
289(4)
10.5 Applicability of DisCor-T: Things Recommendation
293(4)
10.6 Experiments
297(2)
10.7 Related Work
299(1)
10.8 Conclusion
300(5)
References
301(4)
Chapter 11 Building Interoperable and Cross-Domain Semantic Web of Things Applications
305(20)
11.1 Introduction: Understanding Trends and the Evolution
305(3)
11.2 Related Work and Challenges Identification
308(6)
11.3 Contributions and M3 framework
314(7)
11.4 Summary and Future Work
321(4)
References
322(2)
Acknowledgements
324(1)
Chapter 12 Web of Things Data Storage
325(32)
12.1 Introduction
325(1)
12.2 The Framework of WoT Data Storage
326(2)
12.3 Methods and Challenge of WoT Data Storage
328(16)
12.4 WoT Data Storage in Cloud Platform
344(3)
12.5 Tendency for WoT Data Storage Technology
347(2)
12.6 Conclusion
349(8)
References
349(8)
PART 4 APPLICATIONS, SECURITY AND SOCIAL IMPACT
Chapter 13 WoX: Model-Driven Development of Web of Things Applications
357(32)
13.1 Introduction
357(2)
13.2 State of the Art
359(6)
13.3 Open Issues and Challenges
365(1)
13.4 The Web of Topics (WoX) Model
366(4)
13.5 Design and Implementation
370(12)
13.6 Proof of Concepts
382(1)
13.7 Conclusions and Future Work
383(6)
References
386(1)
Acknowledgements
387(2)
Chapter 14 Security Issues of the Web of Things
389(36)
14.1 Introduction: From IoT to WoT
389(1)
14.2 The Existing Security Models
390(11)
14.3 Security in the Web of Things
401(18)
14.4 Conclusion
419(6)
References
420(4)
Acknowledgement
424(1)
Chapter 15 A Web of Fitness "Things": An Exploration of Social Impacts & Vulnerable Populations
425(24)
15.1 Web of Things and Health: An Introduction
425(4)
15.2 Potential Positive Implications for Health
429(7)
15.3 Potential Challenges and Unintended Consequences for Social Health
436(6)
15.4 Implications
442(7)
References
443(6)
Index 449
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). 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. 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). Boualem Benatallah is currently a Scientia Professor at the School of Computer Science and Engineering, the University of New South Wales. Prof. Benatallahs 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. Benatallahs 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.
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