Knowledge management practice of medical cloud logistics industry: transportation resource semantic discovery based on ontology modelling
Journal of Intellectual Capital
ISSN: 1469-1930
Article publication date: 29 September 2020
Issue publication date: 18 February 2021
Abstract
Purpose
The booming of the Internet of things (IoT) and artificial intelligence (AI) techniques contributes to knowledge adoption and management innovation for the healthcare industry. It is of great significance to transport the medical resources to required places in an efficient way. However, it is difficult to exactly discover matched transportation resources and deliver to its destination due to the heterogeneity. This paper studies the medical transportation resource discovery mechanism, leading to efficiency improvement and operational innovation.
Design/methodology/approach
To solve the transportation resource semantic discovery problem under the novel cloud environment, the ontology modelling approach is used for both transportation resources and tasks information modes. Besides, medical transportation resource discovery mechanism is proposed, and resource matching rules are designed including three stages: filtering reasoning, QoS-based matching and user preferences-based rank to satisfy personalized demands of users. Furthermore, description logic rules are built to express the developed matching rules.
Findings
An organizational transportation case is taken as an example to describe the medical transportation logistics resource semantic discovery process under cloud medical service scenario. Results derived from the proposed semantic discovery mechanism could assist operators to find the most suitable resources.
Research limitations/implications
The case study validates the effectiveness of the developed transportation resource semantic discovery mechanism, contributing to knowledge management innovation for the medical logistics industry.
Originality/value
To improve task-resource matching accuracy under cloud scenario, this study develops a transportation resource semantic discovery procedure from the viewpoint of knowledge management. The novel knowledge management practice contributes to operational management of the cloud medical logistics service by introducing ontology modelling and creative management.
Keywords
Acknowledgements
The authors would like to thank anonymous referees and editors for their valuable comments and advice. This study is supported by the following projects: the Henan Province Philosophy and Social Science Planning Project (2020CZH012), the Think-tank Programme of Henan Science & Technology (grant no. HNKJZK-2020-41C), the Scientific Research Starting Fund from ZZULI (grant no. 2018BSJJ071), the China Postdoctoral Science Foundation (grant no. 2019M660701), and Major Application Research Program of Philosophy and Social Science in Henan Higher Education Institutions [grant number 2019-YYZD-18].Credit author statement: Fuli Zhou and Yandong He designed and wrote this research. Panpan Ma performed the model verification, and contributed to a lot at the draft preparation. Raj V. Mahto provided many constructive comments. Disclosure statement: No potential conflict of interest was reported by the authors.
Citation
Zhou, F., He, Y., Ma, P. and Mahto, R.V. (2021), "Knowledge management practice of medical cloud logistics industry: transportation resource semantic discovery based on ontology modelling", Journal of Intellectual Capital, Vol. 22 No. 2, pp. 360-383. https://doi.org/10.1108/JIC-03-2020-0072
Publisher
:Emerald Publishing Limited
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