Advancing Cognitive Cities with Web of Things

D'Onofrio, Sara; Franzelli, Simone Marina; Portmann, Edy (2017). Advancing Cognitive Cities with Web of Things. In: Yager, Ronald R; Pascual Espada, Jordán (eds.) New Advances in the Internet of Things. Studies in Computational Intelligence: Vol. 715. Springer International Publishing

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Currently, the Internet of Things (IoT) is employed to establish connections among smart things as well as between smart things and individuals. It is used in various applications for smart cities. However, the IoT has several drawbacks, such as a lack of common standards, which would be required if as many things as possible are to be connected. The Web of Things (WoT) (i.e., the IoT extended using Web standards) possesses common standards and has many other advantages over the IoT. This article elaborates on both approaches, compares them and summarizes the potential uses of the WoT in cognitive cities. With the WoT, processes in cognitive cities can be simplified and living standards improved. Thus, the WoT is suitable for addressing the challenges faced by today’s cities.

Item Type:

Book Section (Book Chapter)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems

UniBE Contributor:

D'Onofrio, Sara, Franzelli, Simone Marina, Portmann, Edy

Subjects:

000 Computer science, knowledge & systems
600 Technology > 650 Management & public relations
300 Social sciences, sociology & anthropology > 330 Economics

ISSN:

1860-949X

ISBN:

978-3-319-58189-7

Series:

Studies in Computational Intelligence

Publisher:

Springer International Publishing

Projects:

[388] Knowledge Aggregation, Representation and Reasoning
[459] Big Data Analytics and Management
[378] Cognitive Cities

Language:

English

Submitter:

Sara D'Onofrio

Date Deposited:

11 May 2017 08:46

Last Modified:

05 Dec 2022 15:03

BORIS DOI:

10.7892/boris.96183

URI:

https://boris.unibe.ch/id/eprint/96183

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