• DocumentCode
    188249
  • Title

    Semantic-Based Publish/Subscribe for M2M

  • Author

    Antunes, Mario ; Gomes, Diego ; Aguiar, Rui

  • Author_Institution
    Inst. de Telecomun., Univ. de Aveiro, Aveiro, Portugal
  • fYear
    2014
  • fDate
    13-15 Oct. 2014
  • Firstpage
    256
  • Lastpage
    263
  • Abstract
    The number of connected devices is expected to soar in the coming years, each one of them collects and distributes real-world information though various systems. As the number of such connected devices grows, it becomes increasingly difficult to store and share all these new sources of information. Several context representation schemes try to standardize this information, however none of them have been widely adopted. Publish/subscribe paradigm has proven to be an adequate abstraction for large scale information dissemination, but none of current variations is well suited for context information. In a previous publication we addressed these challenges, however our solution has some drawbacks: poor scalability and semantic extraction. The aim of this paper is twofold. First, we discuss an efficient way to deal with representation schemes diversity and propose a d-dimensional context organization model. Second, we propose a semantic-based publish/subscribe system that is well suited for M2M scenarios. Our evaluation shows that d-dimensional organization model outperforms our previous solution in both speed and space requirements.
  • Keywords
    information dissemination; message passing; middleware; M2M; context information; context representation schemes; d-dimensional context organization model; d-dimensional organization model; information sources; information standardization; large scale information dissemination; real-world information; semantic-based publish/subscribe system; Context; Context modeling; Information retrieval; Mathematical model; Organizations; Semantics; Sensors; Internet of things; M2M; context information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-6235-8
  • Type

    conf

  • DOI
    10.1109/CyberC.2014.53
  • Filename
    6984316