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Books > Computing & IT > Applications of computing > Databases
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Pervasive Social Computing - Socially-Aware Pervasive Systems and Mobile Applications (Hardcover, 1st ed. 2016)
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Pervasive Social Computing - Socially-Aware Pervasive Systems and Mobile Applications (Hardcover, 1st ed. 2016)
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This book presents a review of traditional context-aware computing
research, identifies its limitations in developing social
context-aware pervasive systems, and introduces a new technology
framework to address these limitations. Thus, this book provides a
good reference for developments in context-aware computing and
pervasive social computing. It examines the emerging area of
pervasive social computing, which is a novel collective paradigm
derived from pervasive computing, social media, social networking,
social signal processing and multimodal human-computer interaction.
This book offers a novel approach to model, represent, reason about
and manage different types of social context. It shows how users'
social context information can be acquired from different online
social networks such as Facebook, LinkedIn, Twitter and Google
Calendar. It further presents the use of social context information
in developing innovative smart mobile applications to assist users
in their daily life. The mix of both theoretical and applied
research results makes this book attractive to a variety of readers
from both academia and industry. This book provides a new platform
for implementing different types of socially-aware mobile
applications. The platform hides the complexity of managing social
context, and thus provides essential support to application
developers for the development of socially-aware applications. The
book contains detailed descriptions of how the underlying platform
has been implemented using available technologies such as ontology
and rule engines, and how this platform can be used to develop
socially-aware mobile applications using two exemplar applications.
The book also presents evaluations of the proposed platform and
applications using real-world data from Facebook, LinkedIn and
Twitter. Therefore, this book is a syndication of scientific
research with practical industrial applications, making it useful
to researchers as well as to software engineers.
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