Title: Automatic service abstraction through data, information and knowledge prioritisation

Authors: Yucong Duan; Lixu Shao; Donghai Zhu; Xiaoxian Yang; Xiaobing Sun

Addresses: College of Information Science and Technology, State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University, Haikou, China ' College of Information Science and Technology, State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University, Haikou, China ' College of Information Science and Technology, State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University, Haikou, China ' School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China ' School of Information Engineering, Yangzhou University, Yangzhou, China

Abstract: Web service is a popular solution to integrate components when building a software system, or to allow communication between a system and third-party users, providing a flexible and reusable mechanism to access its functionalities. Scientists have been proposing numerous models for defining anything 'as a service (aaS)', including discussions of products, processes, data and information management, and security as a service. Various web service-based systems are prevailing in health service, personalised recommendation provision. We propose a framework towards constructing and searching typed resources in terms of data, information and knowledge through a hierarchy composing data graph, information graph and knowledge graph in order to improve performance in accessing and processing resources. We use cases to illustrate the mechanism of the framework.

Keywords: service abstraction; data graph; information graph; knowledge graph.

DOI: 10.1504/IJIMS.2019.103855

International Journal of Internet Manufacturing and Services, 2019 Vol.6 No.4, pp.308 - 325

Received: 18 Sep 2017
Accepted: 13 Apr 2018

Published online: 28 Nov 2019 *

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