Smart Connected World

Technologies and Applications Shaping the Future

Inbunden, Engelska, 2021

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Beskrivning

This book provides an overview of the emerging smart connected world, and discusses the roles and the usage of underlying semantic computing and Internet-of-Things (IoT) technologies.

Produktinformation

Utgivningsdatum:2021-09-28
Mått:155 x 235 x 19 mm
Vikt:530 g
Format:Inbunden
Språk:Engelska
Antal sidor:216
Förlag:Springer Nature Switzerland AG
ISBN:9783030763862

Utforska kategorier

Informationsteknik: allmänt inom Data och IT
Hårdvara inom Data och IT
Naturvetenskap:allmänt inom Naturvetenskap och teknik

Mer om författaren

Sarika Jain is a researcher at the National Institute of Technology Kurukshetra (Institute of National Importance), India. Her current research interests are knowledge management and analytics, the semantic web, ontological engineering, and intelligent systems, and she has authored or co-authored over 100 publications in these areas.San Murugesan is Director of BRITE Professional Services and Adjunct Professor in the School of Computing at Western Sydney University, Australia, and former Editor-in-Chief of the IEEE Computer Society’s IT Professional magazine. His expertise and interests span a range of areas: smart systems, artificial intelligence, autonomous systems, quantum computing, green computing, cloud computing, digital transformation, Internet of Things (IoT), sustainability, and emerging trends in IT.

Innehållsförteckning

Part I: Smart Connected World: Overview and Technologies.- 1. The Smart Connected World: A Broader Perspective.- 2. Cyber-Physical-Social Systems: An Overview.- 3. The Web of Things Ecosystem.- 4. Semantic Intelligence in Big Data Applications.- 5. Securing Smart Connected World: Key Challenges and Solutions.- 6. Ontology for Data Analytics.- 7. Multilingual Semantic Representation of Smart Connected Web Data.- Part II: Applications and Case Studies.- 8. Smart Manufacturing.- 9. Role of Semantics in Smart City Applications.- 10. Detection of Depression Signals from Social Media Data.