A knowledge graph-aided concept–knowledge approach for evolutionary smart product–service system development

In order to meet user expectations and to optimize user experience with a higher degree of flexibility and sustainability, the Smart product–service system (Smart PSS), as a novel value proposition paradigm considering both online and offline smartness, was proposed. However, conventional manners fo...

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Main Authors: Li, Xinyu, Chen, Chun-Hsien, Zheng, Pai, Wang, Zuoxu, Jiang, Zuhua, Jiang, Zhixing
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/146515
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1465152021-02-23T02:57:29Z A knowledge graph-aided concept–knowledge approach for evolutionary smart product–service system development Li, Xinyu Chen, Chun-Hsien Zheng, Pai Wang, Zuoxu Jiang, Zuhua Jiang, Zhixing School of Electrical and Electronic Engineering Delta-NTU Corporate Laboratory Engineering::Industrial engineering Knowledge Graph Concept–knowledge Model In order to meet user expectations and to optimize user experience with a higher degree of flexibility and sustainability, the Smart product–service system (Smart PSS), as a novel value proposition paradigm considering both online and offline smartness, was proposed. However, conventional manners for developing PSS require many professional consultations and still cannot meet with the new features of Smart PSS, such as user context-awareness and ever-evolving knowledge management. Therefore, aiming to assist Smart PSS development cost-effectively, this paper adopted the knowledge graph (KG) technique and concept–knowledge (C-K) model to propose an evolutionary design approach. Two knowledge graphs are firstly established with open-source knowledge, prototype specifications, and user-generated textual data. Then, triggered by personalized requirements, four KG-aided C-K operators are conducted based on graph-based query patterns and computational linguistics algorithms, thus generating innovative solutions for evolving Smart PSS. To validate the performance of the proposed approach, a case study of a smart nursing bed fulfilling multiple personalized requirements is conducted, and the evaluation result of its knowledge evolution is acceptable. It hopes that this work can offer insightful guidance to industrial organizations in their development of Smart PSS. National Research Foundation (NRF) This work is conducted within the Delta-NTU Corporate Lab for Cyber-Physical Systems with funding support from Delta Electronics Inc and the National Research Foundation (NRF) Singapore under the Corporate Laboratory @ University Scheme (Ref. RCA-16/434; SCO-RP1) at Nanyang Technological University, Singapore, and National Natural Science Foundation of China (No. 71671113). The authors are also grateful for the contributions from members of the nursing bed project at Shanghai Jiao Tong University and the medical suggestions from physicians in Huashan Hospital, Shanghai. 2021-02-23T02:47:14Z 2021-02-23T02:47:14Z 2020 Journal Article Li, X., Chen, C.-H., Zheng, P., Wang, Z., Jiang, Z., & Jiang, Z. (2020). A knowledge graph-aided concept–knowledge approach for evolutionary smart product–service system development. Journal of Mechanical Design, 142(10), 101403-. doi:10.1115/1.4046807 1528-9001 https://hdl.handle.net/10356/146515 10.1115/1.4046807 2-s2.0-85089729213 10 142 101403 en RCA-16/434; SCO-RP1 Journal of Mechanical Design © 2020 American Society of Mechanical Engineers (ASME). All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Industrial engineering
Knowledge Graph
Concept–knowledge Model
spellingShingle Engineering::Industrial engineering
Knowledge Graph
Concept–knowledge Model
Li, Xinyu
Chen, Chun-Hsien
Zheng, Pai
Wang, Zuoxu
Jiang, Zuhua
Jiang, Zhixing
A knowledge graph-aided concept–knowledge approach for evolutionary smart product–service system development
description In order to meet user expectations and to optimize user experience with a higher degree of flexibility and sustainability, the Smart product–service system (Smart PSS), as a novel value proposition paradigm considering both online and offline smartness, was proposed. However, conventional manners for developing PSS require many professional consultations and still cannot meet with the new features of Smart PSS, such as user context-awareness and ever-evolving knowledge management. Therefore, aiming to assist Smart PSS development cost-effectively, this paper adopted the knowledge graph (KG) technique and concept–knowledge (C-K) model to propose an evolutionary design approach. Two knowledge graphs are firstly established with open-source knowledge, prototype specifications, and user-generated textual data. Then, triggered by personalized requirements, four KG-aided C-K operators are conducted based on graph-based query patterns and computational linguistics algorithms, thus generating innovative solutions for evolving Smart PSS. To validate the performance of the proposed approach, a case study of a smart nursing bed fulfilling multiple personalized requirements is conducted, and the evaluation result of its knowledge evolution is acceptable. It hopes that this work can offer insightful guidance to industrial organizations in their development of Smart PSS.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Li, Xinyu
Chen, Chun-Hsien
Zheng, Pai
Wang, Zuoxu
Jiang, Zuhua
Jiang, Zhixing
format Article
author Li, Xinyu
Chen, Chun-Hsien
Zheng, Pai
Wang, Zuoxu
Jiang, Zuhua
Jiang, Zhixing
author_sort Li, Xinyu
title A knowledge graph-aided concept–knowledge approach for evolutionary smart product–service system development
title_short A knowledge graph-aided concept–knowledge approach for evolutionary smart product–service system development
title_full A knowledge graph-aided concept–knowledge approach for evolutionary smart product–service system development
title_fullStr A knowledge graph-aided concept–knowledge approach for evolutionary smart product–service system development
title_full_unstemmed A knowledge graph-aided concept–knowledge approach for evolutionary smart product–service system development
title_sort knowledge graph-aided concept–knowledge approach for evolutionary smart product–service system development
publishDate 2021
url https://hdl.handle.net/10356/146515
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