• DocumentCode
    2806560
  • Title

    Multi-site project management ontology system development methodology

  • Author

    Cheah, Chan ; Chang, Elizabeth

  • Author_Institution
    Sch. of Inf. Syst., Curtin Univ. of Technol., WA, Australia
  • fYear
    2005
  • fDate
    10-12 Aug. 2005
  • Firstpage
    836
  • Lastpage
    838
  • Abstract
    This paper examines how ontology principles can be applied in the design of a semantic Web service system for supporting multi-site project management (MSPM) in industrial automation. It reports work in progress views of what constitute the MSPM ontology system development methodology, which is currently revealing to be best practice and standards driven. The methodology requires linking conventional SDLC processes with semantic MSPM knowledge standards development and change management, and it fosters the inclusion of semantic knowledge standards (in addition to ICT standards) in governing the design of systems.
  • Keywords
    factory automation; management of change; ontologies (artificial intelligence); project management; semantic Web; software engineering; work in progress; ICT standards; SDLC process; change management; industrial automation; multisite project management; ontology based software engineering; ontology system development methodology; semantic MSPM knowledge standards development; semantic Web service system; work in progress; Australia; Knowledge management; Machine learning; Ontologies; Project management; Research and development; Resource description framework; Semantic Web; Software engineering; Standards development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics, 2005. INDIN '05. 2005 3rd IEEE International Conference on
  • Print_ISBN
    0-7803-9094-6
  • Type

    conf

  • DOI
    10.1109/INDIN.2005.1560482
  • Filename
    1560482