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: 02 Dec 2019 *