Dynamic customisation, validation and integration of product data models using semantic web tools

Sylvere Krima, Allison Barnard Feeney, Sebti Foufou

Research output: Contribution to journalArticle

Abstract

Standard product data models enable information exchange across different organisations, actors, processes and stages in the product lifecycle. These standard models need to support diverse domain-specific requirements from the multitude of disciplines involved during a product's lifecycle. Due to this diversity, challenges are to: 1) develop multidisciplinary models; 2) extend them to support new requirements over time; 3) implement the resulting gigantic information models. ISO 10303, the reference standard for PLM-related data models provides mechanisms to enable specialisation of generic product data to address some of these challenges. In this paper, we introduce the need for dynamic product data models, detail the ISO method and identify its limitations. We present enhancements to that methodology using ontologies and the SPARQL Inference Notation (SPIN) for validating product data. To conclude, we show how these ontologies can be leveraged to ease and strengthen PLM data integration through the use of Linked Data.

Original languageEnglish (US)
Pages (from-to)38-53
Number of pages16
JournalInternational Journal of Product Lifecycle Management
Volume7
Issue number1
DOIs
StatePublished - Oct 1 2014

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Keywords

  • Linked data
  • OWL
  • PLM
  • Product data integration
  • Product data ontology
  • Product lifecycle management
  • Web ontology language

ASJC Scopus subject areas

  • Business and International Management
  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research

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