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Call for contribution of a chapter for the book "Semantic Models in IoT and eHealth Applications" (Elsevier)

From: Dr. Sanju Tiwari <sanju.tiwari.2007@gmail.com>
Date: Mon, 10 May 2021 11:26:26 +0530
Message-ID: <CAOprRZKBDTLsVLADqDT36Mg8yYogRvz49ePH+KX8Z8s2Uv2zMg@mail.gmail.com>
To: tccc-announce@comsoc.org, announcements@ubicomp.org, semantic-web@w3.org, public-lod <public-lod@w3.org>, W3c Semweb HCLS <public-semweb-lifesci@w3.org>
## Plaese accept our apologies if you receive multiple copies##

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

This Book is Scheduled to be Published by Elsevier By December 2021

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.

Important Links:

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


Contact : Sanju Tiwari :sanju.tiwari.2007@gmail.com
Fernando Ortiz-Rodriguez :fernandortizrodriguez5@gmail.com
MA. Jabbar :akhiljabbar@ieee.org

Dr. Sanju Tiwari (PhD, Post-Doc), SMIEEE
Sr. Researcher, Universidad Autonoma de Tamaulipas, Mexico
Adjunct Professor, Vardhaman College of Engineering, Hyderabad, India
Ph.D. Supervisor, Rai University, Ahmedabad, Gujarat, India
DAAD Post-Doc-Net AI Fellow
General Chair *KGSWC-2021* (Second Indo-American Conference)
Senior Member IEEE
Member Machine Intelligence Research Labs(MIR Lab), USA
Received on Monday, 10 May 2021 05:56:52 UTC

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