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Towards a Situation-Aware Architecture for the Wisdom Web of Things

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Wisdom Web of Things

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Abstract

Computers are getting smaller, cheaper, faster, with lower power requirements, more memory capacity, better connectivity, and are increasingly distributed. Accordingly, smartphones became more of a commodity worldwide, and the use of smartphones as a platform for ubiquitous computing is promising. Nevertheless, we still lack much of the architecture and service infrastructure we will need to transition computers to become situation aware to a similar extent that humans are. Our Everything is Alive (EiA) project illustrates an integrated approach to fill in the void with a broad scope of works encompassing Ubiquitous Intelligence (RFID, spatial searchbot, etc.), Cyber-Individual (virtual world, 3D modeling, etc.), Brain Informatics (psychological experiments, computational neuroscience, etc.), and Web Intelligence (ontology, workflow, etc.). In this chapter, we describe the vision and architecture for a future where smart real-world objects dynamically discover and interact with other real or virtual objects, humans or virtual humans. We also discuss how the vision in EiA fits into a seamless data cycle like the one proposed in the Wisdom Web of Things (W2T), where data circulate through things, data, information, knowledge, wisdom, services, and humans. Various open research issues related to internal computer representations needed to model real or virtual worlds are identified, and challenges of using those representations to generate visualizations in a virtual world and of “parsing” the real world to recognize and record these data structures are also discussed.

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Authors and Affiliations

  1. Oxford Centre for Theoretical Neuroscience and Artificial Intelligence, University of Oxford, Oxford, UK

    Akihiro Eguchi

  2. Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR, USA

    Hung Nguyen & Craig Thompson

  3. Department of Computer Science and Industrial Technology, Southeastern Louisiana University, Hammond, LA, USA

    Wesley Deneke

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  1. Akihiro Eguchi
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  2. Hung Nguyen
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  3. Craig Thompson
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  4. Wesley Deneke
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Correspondence to Craig Thompson .

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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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Eguchi, A., Nguyen, H., Thompson, C., Deneke, W. (2016). Towards a Situation-Aware Architecture for the Wisdom Web of Things. 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_4

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