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

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. N...

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Main Authors: Eguchi, A, Nguyen, H, Thompson, C, Deneke, W
Other Authors: Zhong, N
Format: Book section
Published: Springer International Publishing 2016
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author Eguchi, A
Nguyen, H
Thompson, C
Deneke, W
author2 Zhong, N
author_facet Zhong, N
Eguchi, A
Nguyen, H
Thompson, C
Deneke, W
author_sort Eguchi, A
collection OXFORD
description 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. (Received: 21 November 2013)
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spelling oxford-uuid:1df177d3-4183-4ece-b03a-cd3d06f4c8c72022-03-26T11:13:43ZTowards a Situation-Aware Architecture for the Wisdom Web of ThingsBook sectionhttp://purl.org/coar/resource_type/c_3248uuid:1df177d3-4183-4ece-b03a-cd3d06f4c8c7Symplectic Elements at OxfordSpringer International Publishing2016Eguchi, ANguyen, HThompson, CDeneke, WZhong, NMa, JLiu, JHuang, RTao, XComputers 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. (Received: 21 November 2013)
spellingShingle Eguchi, A
Nguyen, H
Thompson, C
Deneke, W
Towards a Situation-Aware Architecture for the Wisdom Web of Things
title Towards a Situation-Aware Architecture for the Wisdom Web of Things
title_full Towards a Situation-Aware Architecture for the Wisdom Web of Things
title_fullStr Towards a Situation-Aware Architecture for the Wisdom Web of Things
title_full_unstemmed Towards a Situation-Aware Architecture for the Wisdom Web of Things
title_short Towards a Situation-Aware Architecture for the Wisdom Web of Things
title_sort towards a situation aware architecture for the wisdom web of things
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