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WaaS—Wisdom as a Service

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Wisdom Web of Things

Abstract

An emerging hyper-world encompasses all human activities in a social-cyber-physical space. Its power derives from the Wisdom Web of Things (W2T) cycle, namely, “from things to data, information, knowledge, wisdom, services, humans, and then back to things.” The W2T cycle leads to a harmonious symbiosis among humans, computers and things, which can be constructed by large-scale converging of intelligent information technology applications with an open and interoperable architecture. The recent advances in cloud computing, the Internet/Web of Things, big data and other research fields have provided just such an open system architecture with resource sharing/services. The next step is therefore to develop an open and interoperable content architecture with intelligence sharing/services for the organization and transformation in the “data, information, knowledge and wisdom (DIKW)” hierarchy. This chapter introduces Wisdom as a Service (WaaS) as a content architecture based on the “paying only for what you use” IT business trend. The WaaS infrastructure, WaaS economics, and the main challenges in WaaS research and applications are discussed. A case study is described to demonstrate the usefulness and significance of WaaS. Relying on the clouds (cloud computing), things (Internet of Things) and big data, WaaS provides a practical approach to realize the W2T cycle in the hyper-world for the coming age of ubiquitous intelligent IT applications.

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Acknowledgments

The work is supported by National Key Basic Research Program of China (2014CB744605), China Postdoctoral Science Foundation (2013M540096), International Science & Technology Cooperation Program of China (2013DFA32180), National Natural Science Foundation of China (61272345), Research Supported by the CAS/SAFEA International Partnership Program for Creative Research Teams, the Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research (25330270).

Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China

    Jianhui Chen

  2. Faculty of Computer and Information Sciences, Hosei University, Tokyo, 184-8584, Japan

    Jianhua Ma

  3. Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-city, 371-0816, China

    Ning Zhong

  4. Beijing Advanced Innovation Center for Future Internet Technology, The International WIC Institute, Beijing University of Technology, Beijing, China

    Ning Zhong

  5. International WIC Institute, Beijing University of Technology, Beijing, 100124, China

    Yiyu Yao, Jiming Liu & Zhisheng Huang

  6. Department of Computer Science, University of Regina, Regina, SK, S4S 0A2, Canada

    Yiyu Yao

  7. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR

    Jiming Liu

  8. Faculty of Computer and Information Sciences, Hosei University, Tokyo, 184-8584, Japan

    Runhe Huang

  9. Department of Computer Science, Shijiazhuang University of Economics, Shijiazhuang, 050031, China

    Wenbin Li

  10. Department of Computer Science, Vrije University Amsterdam, Amsterdam, The Netherlands

    Zhisheng Huang

  11. Department of Computer Science, Nanjing University, Nanjing, 210046, China

    Yang Gao

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  1. Jianhui Chen
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  2. Jianhua Ma
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  3. Ning Zhong
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  4. Yiyu Yao
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  5. Jiming Liu
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  6. Runhe Huang
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  7. Wenbin Li
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  8. Zhisheng Huang
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  9. Yang Gao
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Corresponding author

Correspondence to Ning Zhong .

Editor information

Editors and Affiliations

  1. Dep of Life Sci & Informatic, Maebashi Institute of Technology Dep of Life Sci & Informatic, Maebashi, Japan

    Ning Zhong

  2. Faculty of Computer and Information Sciences, Hosei University, Tokyo, Japan

    Jianhua Ma

  3. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  4. Faculty of Computer and Information Science, Hosei University , Tokyo, Japan

    Runhe Huang

  5. Department of Mathematics and Computing, The University of Southern Queensland, Toowoomba, Queensland, Australia

    Xiaohui Tao

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© 2016 Springer International Publishing Switzerland

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Chen, J. et al. (2016). WaaS—Wisdom as a Service. In: Zhong, N., Ma, J., Liu, J., Huang, R., Tao, X. (eds) Wisdom Web of Things. Web Information Systems Engineering and Internet Technologies Book Series. Springer, Cham. https://doi.org/10.1007/978-3-319-44198-6_2

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  • DOI: https://doi.org/10.1007/978-3-319-44198-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44196-2

  • Online ISBN: 978-3-319-44198-6

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