Internet of Everything, Softcover reprint of the original 1st ed. 2018 Algorithms, Methodologies, Technologies and Perspectives Internet of Things Series

This book focuses on the Internet of Everything and related fields. The Internet of Everything adds connectivity and intelligence to just about every device, giving it special functions. The book provides a common platform for integrating information from heterogeneous sources. However, this can be quite reductive, as the Internet of Everything provides links not only among things, but also data, people, and business processes. The evolution of current sensor and device networks, with strong interactions between people and social environments, will have a dramatic impact on everything from city planning, first responders, the military and health. 

Such a shared ecosystem will allow for the interaction between data, sensor inputs and heterogeneous systems. Semantics is a fundamental component of this since semantic technologies are able to provide the necessary bridge between different data representations, and to solve terminology incongruence.

Integrating data from distributed devices, sensor networks, social networks and biomedical instruments requires, first of all, the systematization of the current state of the art in such fields. Then, it is necessary to identify a common action thread to actually merge and homogenize standards and techniques applied in such a heterogeneous field. The exact requirements of an Internet of Everything environment need to be precisely identified and formally expressed, and finally, the role of modern computing paradigms, such as Cloud and Fog Computing, needs to be assessed with respect to the requirements expressed by an Internet of Everything ecosystem.

Introduction to the Internet of Everything.- Sensor systems.- Social Networks.- Biomedical Applications.- Smart cities.- Internet of Services (IoS).- IoE applications.- Data modelling and management.- Semantic technologies for IoE ecosystems.- Cloud and Fog Computing.- Standardization Efforts.- Big Data applications.- Predictive models and support to decision making.

Beniamino Di Martino is Full Professor of Information Systems at the Second University of Naples (Italy), vice Director of the Department of Industrial and Information Engineering. He is author of 10 international books and more than 200 publications in international journals and conferences. He is Project Coordinator of EU funded FP7-ICT Project mOSAIC, and has been participating to various research projects supported by EC, national and international organizations. He is Editor / Associate Editor of seven international journals and Editorial Board Member of several international journals. He served as general and program chairman, and member in Program Committees, of several international conferences. He has been vice Chair of the Executive Board of the IEEE CS Technical Committee on Scalable Computing. He is member of the IEEE Working Group for the IEEE P3203 Standard on Cloud Interoperability, of the IEEE Intercloud Testbed Initiative, of the Cloud Standards Customer Council, of the Cloud Computing Experts' Group of the European Commission. He acts as Co-Chair of the Nomination Committee for the IEEE ``Award of Excellence in Scalable Computing''. His research interests include: Knowledge Discovery and Management, Semantic Web and Semantic Web Services, Semantic based Information Retrieval, Cloud Computing, Big Data Intelligence, High Performance Computing and Architectures, Mobile and Intelligent Agents and Mobile Computing, Reverse Engineering, Automated Program Analysis and Transformation, Algorithmic Patterns Recognition and Program Comprehension, Image analysis.

Kuan-Ching Li is currently a Professor in the Department of Computer Science and Information Engineering at the Providence University, Taiwan. He is a recipient of awards from Nvidia, Ministry of Science and Technology (MOST)/Taiwan and support from a number of industrial companies, as also received guest and distinguished chair professorships from several univer

Provides a common platform for integrating information coming from heterogeneous sources

Focuses on the Internet of Everything and related fields

Identifies a common action thread to merge and homogenize standards and techniques applied in such a heterogeneous field