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Internet of Everything Algorithms, Methodologies, Technologies and Perspectives / edited by Beniamino Di Martino, Kuan-Ching Li, Laurence T. Yang, Antonio Esposito.

Contributor(s): Di Martino, Beniamino, editor literario | Li, Kuan-Ching, editor literario | Yang, Laurence T., editor literario | Esposito, Antonio., editor literario
Material type: materialTypeLabelE-bookSeries: (Internet of Things, Technology, Communications and Computing, 2199-1073); (Engineering (Springer-11647)).Publisher: Singapore : Springer International Publishing, 2018Description: 1 recurso en línea (VIII, 231 páginas 73 ilustraciones, 20 ilustraciones a color).ISBN: 9789811058615.Subject: Internet de los objetosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Abstract: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK5105.8857 2018 EB (Browse shelf(Opens below)) Acceso electrónico eBook.15112888
Total holds: 0

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.

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.

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