• DocumentCode
    2787937
  • Title

    Sensing Network Element Ontology Description Model for Internet of Things

  • Author

    Xingchao Wang ; Hongping An ; Yongyue Xu ; Sijun Wang

  • Author_Institution
    Yunnan Electron. Comput. Center, Yunnan Univ., Kunming, China
  • fYear
    2015
  • fDate
    24-26 April 2015
  • Firstpage
    471
  • Lastpage
    475
  • Abstract
    Internet of Things (IOT) is usually complicated and heterogeneous, in which the different sensor networks are difficult to interconnect each other, and leads to that the efficient sharing and reusing of resource is difficult to implement. Aiming at this problem, a sensing network element ontology description model for internet of thing has been proposed in this paper, in which semantics and ontology technologies are used to describe the sensing device and its capability in internet of things. Firstly, a general sensing network element ontology description framework has been built, then the primary classes and their hierarchy have been defined, and the concepts and their relationships are described. Moreover, as an emphasis, those modules and relationships which are directly related to sensor module are built. Our works will provide the semantics for sensing devices and sensory data, by which sensing network elements in internet of things can be automatically discovered and interacted.
  • Keywords
    Internet of Things; ontologies (artificial intelligence); semantic networks; sensor fusion; IOT; Internet of Things; semantics; sensing devices; sensing network element ontology description model; sensory data; Battery charge measurement; Internet of things; Ontologies; Semantics; Sensors; Time measurement; Internet of Things; ontology description model; semantics and ontology; sensing network element;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-6849-0
  • Type

    conf

  • DOI
    10.1109/ICISCE.2015.109
  • Filename
    7120649