• DocumentCode
    2856390
  • Title

    Ontology-Based Digital Ecosystem Conceptual Representation

  • Author

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

  • Author_Institution
    Curtin Univ. of Technol., Perth
  • fYear
    2007
  • fDate
    19-25 June 2007
  • Firstpage
    42
  • Lastpage
    42
  • Abstract
    Along with the evolution of digital ecosystem, in regards to its definition, two different theories have emerged, respectively from Soluta.net and from digital ecosystem and Business Intelligence Institute. This is paper explains the differences between the two theories and more importantly proposes a ontology-based conceptual representation for the concept of digital ecosystem with the purpose of helping researchers in the field to better understand the notion of digital ecosystem. In addition, we will introduce a simple ontology notation system, as the basis of our ontology model.
  • Keywords
    competitive intelligence; ontologies (artificial intelligence); business intelligence; conceptual representation; digital ecosystem; ontology; Australia; Business communication; Commercialization; Ecosystems; Information technology; Ontologies; Open source software; Terminology; Unified modeling language; Vocabulary; Digital Ecosystem; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomic and Autonomous Systems, 2007. ICAS07. Third International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-0-7695-2859-7
  • Electronic_ISBN
    978-0-7695-2859-7
  • Type

    conf

  • DOI
    10.1109/CONIELECOMP.2007.91
  • Filename
    4437919