• DocumentCode
    1983875
  • Title

    Digital Ecosystem Ontology

  • Author

    Dong, Hai ; Hussain, Farookh Khadeer

  • Author_Institution
    Curtin Univ. of Technol., Perth
  • fYear
    2007
  • fDate
    4-7 June 2007
  • Firstpage
    2944
  • Lastpage
    2947
  • Abstract
    Digital ecosystems is a neoteric terminology and there are two major definitions about it respectively from Soluta.Net and from Digital Ecosystem and Business Intelligence Institute. In this paper, to solve the ambiguous problem in digital ecosystem´s definitions and to help researchers better understand what it is, by means of ontology, we propose a conceptual model to completely illustrate the concepts in digital ecosystem. By introducing a new ontology notation system, we deliver the digital ecosystem ontology, to well define the components and explain the relationships between these components. Finally we realize the ontology in Protege-OWL and conclude our future works in the field.
  • Keywords
    competitive intelligence; ecology; knowledge representation languages; ontologies (artificial intelligence); Digital Ecosystem and Business Intelligence Institute; Protege-OWL; Soluta.Net; conceptual model; digital ecosystem ontology; neoteric terminology; ontology notation system; Australia; Business communication; Commercialization; Ecosystems; Information technology; Intelligent agent; Ontologies; Open source software; Terminology; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on
  • Conference_Location
    Vigo
  • Print_ISBN
    978-1-4244-0754-5
  • Electronic_ISBN
    978-1-4244-0755-2
  • Type

    conf

  • DOI
    10.1109/ISIE.2007.4375082
  • Filename
    4375082