About the Book :

The health care industry is facing a lot of challenges like demand for high-quality services, competition among health care providers, need for collaboration among various health care service providers and organizations. Due to these challenges, health care providers are adopting innovative IoT-based semantic web technologies to build new health care models. There is a need for a reference for all the stakeholders of the health care industry to know how to adopt these IoT-based semantic web technologies into the health care sector. The power of IoT-based Semantic Models in eHealth, is harnessing by the global level researchers, academicians, doctors, patients and others medical staff in order to perceive the real world and generate abstractions. Continuous health monitoring is a perfect solution that can easily provide the eHealth services to the community by the emergence usage of IoT-based devices to collect sensor data for efficient health diagnosis, monitoring, and treatment. The collected data should be represented in form of ontologies which are considered as the cornerstone of the Semantic Web for knowledge sharing, information integration, information extraction, and many more. This book will have an impact on various stake holders of health care sector. The aim of this book is to explore how emerging solutions applied to the health care sector will help people to lead wholesome lives.

Table of contents: (But not Limited to )

1. Semantic models for sensor data representation in eHealth

2. Vision, Challenges and concepts for IoT and Semantic Web in eHealth

3. Semantic Interoperability in IoT based Healthcare Models

4. Semantic Representation of Biomedical data and connected devices

5. Design and development of IoT-based eHealth Ontologies

6. Verification and Validation methods for Biomedical Ontologies

7. Role of Connected objects in Healthcare Semantic Models

8. Ontology applications in IoT-based healthcare models

9. Ontology-driven Healthcare Systems

10. Ontology-based information retrieval with sensor observations

11. Evaluation and Visualization of Healthcare Semantic Models

12. IoT-based recommender systems for patient monitoring

13. Semantic modelling for Industry 4.0 healthcare applications

14. Linked Data-based intelligent applications of eHealth

15. The role of IoT and semantics in eHealth

16. Case-based and Rule-based reasoning in Semantic Models

17. Semantic annotation of eHealth data using heterogeneous devices in IoT

Important Dates :

Chapter Proposal (Abstract submission ) : May 20,2021

Abstract Acceptance : May 27,2021

Full Chapter Submission : September 1,2021

Notification to Authors : September 20,2021

Camera Ready Submission : October 15 ,2021

Publication of the Book : December 2021

Abstract Submission :

Abstract should be submitted with maximum 250 words .

Do not use abbreviations in the abstract as well as in the Title .

Abstracts should be submitted through easy chair.

Submission Link : https://easychair.org/conferences/?conf=smiot-2021

Editors

NO PUBLICATION CHARGES

Contact : Sanju Tiwari :sanju.tiwari.2007@gmail.com

Fernando Ortiz-Rodriguez :fernandortizrodriguez5@gmail.com

MA. Jabbar :akhiljabbar@ieee.org