• DocumentCode
    2554148
  • Title

    Using context models in defining intelligent environment information

  • Author

    Wu, Yu-Lin ; Liu, Alan ; Chang, Wei-Chen ; Li, Po-Sheng ; Chu, Hung-Lu ; Lee, Chiung-Hon Leon ; Hsu, Chih-Wei

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
  • fYear
    2011
  • fDate
    21-25 June 2011
  • Firstpage
    1075
  • Lastpage
    1080
  • Abstract
    A context model is defined with information represented and gathered from sensors, user profile, environment and other sources. The main advantage of using ontology is the ability to express machine-interpretable definition on basic concept and interrelation that enables the reuse of the constructed context models. The method of analyzing and designing context ontology will influence the relationship between context information and expression of user activities. By analyzing events, the associated services are defined. Once an event occurs to a particular user with a context model, we provide appropriate services to the user by using the most similar event in context ontology to execute the rule-based system.
  • Keywords
    knowledge based systems; ontologies (artificial intelligence); ubiquitous computing; context model; intelligent environment information; machine-interpretable definition; ontology; rule-based system; Cognition; Context; Context modeling; Ontologies; Prototypes; Sensors; Unified modeling language; Context Model; Intelligent Environment Information; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2011 9th World Congress on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-61284-698-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2011.5970681
  • Filename
    5970681