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Erschienen in:
Research Challenges and Perspectives on Wisdom Web of Things (W2T) Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

7. Multi-level Big Data Content Services for Mental Health Care

verfasst von : Jianhui Chen, Jian Han, Yue Deng, Han Zhong, Ningning Wang, Youjun Li, Zhijiang Wan, Taihei Kotake, Dongsheng Wang, Xiaohui Tao, Ning Zhong

Erschienen in: Wisdom Web of Things

Verlag: Springer International Publishing

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Abstract

Systematic brain informatics studies on mental health care produce various health big data of mental disorders and bring new requirements on the data acquisition and computing, from the data level to the information, knowledge and wisdom levels. Aiming at these challenges, this chapter proposes a brain and health big data center. A global content integrating mechanism and a content-oriented cloud service architecture are developed. The illustrative example demonstrates significance and usefulness of the proposed approach.

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Vorheriges Kapitel Ontology-Based Model for Mining User’s Emotions on the Wisdom Web
Nächstes Kapitel Leveraging Neurodata to Support Web User Behavior Analysis
Fußnoten
1
Skowron et al. proposed “Wisdom = Interactions + Adaptive Judgement + Knowledge”. In the WaaS architecture, all of big data, from data to information and knowledge, are data resources for bringing “Wisdom”. Hence, we change “Knowledge” to “Data Contents” in this study.
 
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Metadaten
Titel
Multi-level Big Data Content Services for Mental Health Care
verfasst von
Jianhui Chen
Jian Han
Yue Deng
Han Zhong
Ningning Wang
Youjun Li
Zhijiang Wan
Taihei Kotake
Dongsheng Wang
Xiaohui Tao
Ning Zhong
Copyright-Jahr
2016
Buch
Wisdom Web of Things

Print ISBN: 978-3-319-44196-2

Electronic ISBN: 978-3-319-44198-6

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-44198-6_7