Название: Information and Knowledge in Internet of Things Автор: Teresa Guarda, Sajid Anwar, Marcelo Leon Издательство: Springer Год: 2022 Страниц: 483 Язык: английский Формат: pdf (true) Размер: 10.1 MB
This book provides readers with an insight into information and knowledge in the Internet of Things, in particular an investigation of data management and processing, information extraction, technology, knowledge management, knowledge sharing, knowledge co-creation, knowledge integration, and the development of new intelligent services available anytime, anywhere, by anyone. The authors show how IoT enables communication and ubiquitous computing between global citizens, networked machines and physical objects, providing a promising vision of the future integrating the real world of knowledge agents and things with the virtual world of information.
Internet of Things (IoT) is currently one of the most challenging areas of the Internet, enabling communication and ubiquitous computing between global citizens, networked machines, and physical objects, providing a promising vision of the future integrating the real world of knowledge agents and things with the virtual world of information. IoT is seen as a network of trillions of agents and machines that communicate with each other, being a profound technological revolution, which is the current reality and the future of computing and communications, supported by a dynamical technological evolution in many fields, from wireless sensors and wireless sensor networks to nanotechnology. Due to its broad impact in many fields, it has rapidly gained global attention from academia, governments, industry, and the citizenry. This change in the network of agency profoundly modifies the landscape of human activity, particularly as regards to knowledge acquisition and production, offering new possibilities but also challenges that need to be explored and assessed.
- Provides insight into information and knowledge in the Internet of Things, with a focus on data management and processing; - Covers topics such as information extraction, technology, knowledge management, knowledge sharing, knowledge co-creation, and knowledge integration; - Includes information relevant to researchers, professors, students, and professionals in IoT.
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