Title: CKGECS: a Chinese knowledge graph for elderly care service

Authors: Hanchuan Xu; Jingxuan Li; Lanshun Nie; Xiaofei Xu

Addresses: School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China ' School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China ' School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China ' School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

Abstract: Developing high-quality elderly care services supporting with modern information techniques is important to solve the increasing aging problem. Knowledge base is essential to the development of elderly care services. In which, knowledge graph is the most promising knowledge representation methodology. However, there are still more challenges on construction of Chinese knowledge graph, especially for elderly care service. Thus, based on three existing knowledge graphs, we proposed a new knowledge processing and fusion method to construct the Chinese knowledge graph for elderly care service. The experiments show that the proposed method can construct knowledge graph in a rapid way and the knowledge graph has better quality for elderly care service.

Keywords: Chinese knowledge graph; elderly care service; knowledge data filter; knowledge fusion.

DOI: 10.1504/IJSTM.2020.106742

International Journal of Services Technology and Management, 2020 Vol.26 No.2/3, pp.131 - 148

Received: 18 Jul 2018
Accepted: 26 Mar 2019
Published online: 20 Apr 2020 *

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