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Scientific Article details

Title Aggregating Heterogeneous Services in the Smart City: The Practice in China
ID_Doc 38481
Authors Li, FP; Li, B
Title Aggregating Heterogeneous Services in the Smart City: The Practice in China
Year 2017
Published
DOI 10.1007/978-3-319-52015-5_46
Abstract In the past fifteen years, each department of Chinese government and business service provider has established their own information service systems to publish services for citizens. However, these systems are isolated from each other and the services they provided are heterogeneous. It is more beneficial to build a common infrastructure to connect, aggregate and utilize all these services. In this paper, a Smart Citizen Fusion Service Platform Software Product Line, called CrowdService, is introduced as a solution. Based on open data, crowd sourcing, user profile and application framework, the architecture of CrowdService supports the development of personalized applications in smart cities. It consists of resource gathering components, open API component, PAAS components, service recommendation, etc. which supports rapid development of personalized applications in different cities. In terms of system management, CrowdService provides minimized total product development cost, increased productivity, on-time delivery, full control over all lifecycles, decreased defect rate both in assets and products, compliance on mission focus, architectural conformance, process compliance, high quality and customer satisfaction. Moreover, our one practice of smart citizen fusion service platform in China is introduced to demonstrate the effectiveness of the CrowdService.
Author Keywords Smart city; Fusion service; Citizen centric; Human-centric; Open data; User profile; Crowd sourcing; Application frame work
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000418793000046
WoS Category Computer Science, Information Systems; Computer Science, Theory & Methods
Research Area Computer Science
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