A graph-based requirement elicitation approach in the context of smart product-service systems

Z. Wang, P. Zheng, C. H. Chen, L. P. Khoo

Research output: Journal article publicationConference articleAcademic researchpeer-review

7 Citations (Scopus)


The trend of servitization has promoted the prosperity of product-service systems (PSS), by generating integrated solution bundles with more values for both industrial companies and customers. Nowadays, with the advances of Information and Communication Technology (ICT) and artificial intelligence (AI) techniques, an emerging paradigm known as smart product-service systems (Smart PSS) has been proposed and discussed. Smart PSS is an IT-driven value co-creation business strategy, consisting of smart, connected products (SCP) as tools and medium, stakeholders as participants, and intelligent systems as the supporting tools. Owing to the unique characteristics of Smart PSS, huge-volume, high velocity and heterogeneous data can be collected and analyzed to extract useful knowledge with wisdom. This is especially important in the requirement elicitation process. Though many existing studies have discussed methods to support requirement elicitation process, few studies emphasize how the data and information play their roles with products and services in the context of Smart PSS. Aiming to address it, a graph-based requirement elicitation approach considering system-in-use information in the context of Smart PSS is proposed. It leverages the graph embedding technique, i.e. deepwalk, together with the pre-defined product/service/condition ontologies to depict their in-context relations, and hence discover prospective latent needs. Finally, a case study of smart bike design requirement elicitation is illustrated at last to demonstrate its feasibility and effectiveness.

Original languageEnglish
JournalProceedings of International Conference on Computers and Industrial Engineering, CIE
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event48th International Conference on Computers and Industrial Engineering, CIE 2018 - Auckland, New Zealand
Duration: 2 Dec 20185 Dec 2018


  • Graph embedding
  • Knowledge representation and reasoning
  • Requirement elicitation
  • Smart product-service systems

ASJC Scopus subject areas

  • General Computer Science
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality


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