Zhong N. et al. (Eds.) Wisdom Web of Things

Springer, 2016. – 354 p. – (Web Information Systems Engineering and Internet Technologies Book Series). – ISBN: 978-3-319-44196-2.
This book provides a thorough overview of the Wisdom Web of Things (W2T), a holistic framework for computing and intelligence in an emerging hyper-world with a social-cyberphysical space. Fast-evolving Web intelligence research and development initiatives are now moving toward understanding the multifaceted nature of intelligence and incorporating it at the Web scale in a ubiquitous environment with data, connection and service explosion. The book focuses on the framework and methodology of W2T, as well as its applications in different problem domains, such as intelligent businesses, urban computing, social computing, brain informatics and healthcare.
From the researcher and developer perspectives, the book takes a systematic, structured view of various W2T facets and their overall contribution to the development of W2T as a whole. Written by leading international researchers, this book is an essential reference for researchers, educators, professionals, and tertiary HDR students working on the World Wide Web, ubiquitous computing, knowledge management, and business intelligence.Foundation of Wisdom Web of Things
Research Challenges and Perspectives on Wisdom Web of Things (W2T)
WaaS — Wisdom as a Service
Towards W2T Foundations: Interactive Granular Computing and Adaptive Judgement
Towards a Situation-Aware Architecture for the Wisdom Web of Things
Context-Awareness in Autonomic Communication and in Accessing Web Information: Issues and Challenges
Wisdom Web of Things and Humanity
Ontology-Based Model for Mining User's Emotions on the Wisdom Web
Multi-level Big Data Content Services for Mental Health Care
Leveraging Neurodata to Support Web User Behavior Analysis
W2T Framework Based U-Pillbox System Towards U-Healthcare for the Elderly
Hot Topic Detection in News Blog Based on W2T Methodology
Wisdom Web of Things and Technologies
Attention Inspired Resource Allocation for Heterogeneous Sensors in Internet of Things
Mining Multiplex Structural Patterns from Complex Networks
Suitable Route Recommendation Inspired by Cognition
A Monitoring System for the Safety of Building Structure Based on W2T Methodology
Future Vision of W2T
Brain Big Data in Wisdom Web of Things