• DocumentCode
    2751322
  • Title

    Project Track and Trace Ontology

  • Author

    Dong, Hai ; Hussain, Farookh Khadeer ; Chang, Elizabeth

  • Author_Institution
    Curtin Univ. of Technol., Bentley, WA
  • fYear
    2007
  • fDate
    13-19 May 2007
  • Firstpage
    52
  • Lastpage
    52
  • Abstract
    It is well-known that ontology is utilized as an effective methodology to share domain-specific knowledge in multidisciplinary fields. In the field of project management, due to the characteristic of project organizations in which project members are geographically dispersed and from different cultural background, senior management would feel difficulty when they attempt to know about the detailed project completion status from dispersed project groups. Thus, the objective of this paper is to propose an automated project track and trace methodology through the use of ontology technology, to challenge the knowledge sharing issues in project organizations. By means of extending CCCI metrics into the field of project management and introducing a new ontological notation system, we deliver the project track and trace ontology.
  • Keywords
    ontologies (artificial intelligence); peer-to-peer computing; project management; software metrics; domain-specific knowledge sharing; ontological notation system; project management; project track-trace ontology; senior management; Cultural differences; Equations; Logistics; Natural languages; Ontologies; Outsourcing; Project management; Unified modeling language; Web and internet services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet and Web Applications and Services, 2007. ICIW '07. Second International Conference on
  • Conference_Location
    Morne
  • Print_ISBN
    0-7695-2844-9
  • Electronic_ISBN
    0-7695-2844-9
  • Type

    conf

  • DOI
    10.1109/ICIW.2007.48
  • Filename
    4222954