TY - CHAP
T1 - WaaS—Wisdom as a Service
AU - Chen, Jianhui
AU - Ma, Jianhua
AU - Zhong, Ning
AU - Yao, Yiyu
AU - Liu, Jiming
AU - Huang, Runhe
AU - Li, Wenbin
AU - Huang, Zhisheng
AU - Gao, Yang
N1 - 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).
Publisher Copyright:
© 2016 Springer International Publishing Switzerland
PY - 2016/11/8
Y1 - 2016/11/8
N2 - 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.
AB - 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.
UR - https://link.springer.com/chapter/10.1007/978-3-319-44198-6_2#Abs1
U2 - 10.1007/978-3-319-44198-6_2
DO - 10.1007/978-3-319-44198-6_2
M3 - Chapter
SN - 9783319441962
SN - 9783319830087
T3 - Web Information Systems Engineering and Internet Technologies Book Series
SP - 27
EP - 46
BT - Wisdom Web of Things
A2 - Zhong, Ning
A2 - Ma, Jianhua
A2 - Liu, Jiming
A2 - Huang, Runhe
A2 - Tao, Xiaohui
PB - Springer Cham
ER -