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Web Services in the Internet of Things and Smart Cities: A Case Study on Classification Techniques | IEEE Journals & Magazine | IEEE Xplore

Web Services in the Internet of Things and Smart Cities: A Case Study on Classification Techniques


Abstract:

Consumer electronics (CE) are considered an indispensable and inseparable part of the Internet of Things (IoT). The four-layer architecture of the IoT includes CE devices...Show More

Abstract:

Consumer electronics (CE) are considered an indispensable and inseparable part of the Internet of Things (IoT). The four-layer architecture of the IoT includes CE devices as its core layer. Furthermore, the IoT provides all necessary infrastructures for realization of the smart city concept. Various services offered in a smart city are implemented with the help of web service technology, and there are multiple web services offering identical functionality. Selecting the most appropriate web service to obtain the desired functionality is a fundamental problem in smart city development. In this article, a tripplanning case study is discussed to highlight the role of web services in a smart city, and six learning models for web service classification are described.
Published in: IEEE Consumer Electronics Magazine ( Volume: 8, Issue: 2, March 2019)
Page(s): 39 - 43
Date of Publication: 05 February 2019

ISSN Information:


Consumer Electronics (CE) are considered an indispensable and inseparable part of the Internet of Things (IoT). The four-layer architecture of the IoT includes CE devices as its core layer. Furthermore, the IoT provides all necessary infrastructures for realization of the smart city concept. Various services offered in a smart city are implemented with the help of web service technology, and there are multiple web services offering identical functionality. Selecting the most appropriate web service to obtain the desired functionality is a fundamental problem in smart city development. In this article, a trip-planning case study is discussed to highlight the role of web services in a smart city, and six learning models for web service classification are described.

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