• DocumentCode
    1905035
  • Title

    Digital Ecosystem for Cross-domain Context Sensing and Trading

  • Author

    Pfeifer, Tom ; Malone, Paul

  • Author_Institution
    Waterford Inst. of Technol., Waterford
  • fYear
    2007
  • fDate
    15-18 Oct. 2007
  • Firstpage
    228
  • Lastpage
    230
  • Abstract
    There is a need for exchange and trade of contextual information within ubiquitous computing environments between different providers of context-aware services. It is the need of a mobile user to obtain such services wherever he roams during the course of the day, such as home, workplace, leisure and visiting businesses, in a way that is safe and secure for both the user as well as the providers, while generating the maximum benefit from synergetically aggregating pieces of contextual information. A possible method to model the peer-to-peer relationships and complex structure of different interests is the introduction of digital ecosystems. The digital ecosystem is an emerging paradigm for economic and technological innovation. It consists of a self-organising digital infrastructure, aimed at creating a digital environment for networked organisations (or agents) thus supporting the cooperation, knowledge sharing and development of open and adaptive technologies and evolutionary, domain knowledge rich, environments.
  • Keywords
    peer-to-peer computing; ubiquitous computing; context-aware service; contextual information exchange; cross-domain context sensing; cross-domain context trading; digital ecosystem; digital environment; economic innovation; knowledge sharing; mobile user; networked organisations; peer-to-peer computing; self-organising digital infrastructure; technological innovation; ubiquitous computing; Computer network management; Computer networks; Context-aware services; Ecosystems; Employment; Information security; Peer to peer computing; Software systems; Space technology; Ubiquitous computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Local Computer Networks, 2007. LCN 2007. 32nd IEEE Conference on
  • Conference_Location
    Dublin
  • ISSN
    0742-1303
  • Print_ISBN
    0-7695-3000-1
  • Electronic_ISBN
    0742-1303
  • Type

    conf

  • DOI
    10.1109/LCN.2007.126
  • Filename
    4367835