• DocumentCode
    3567608
  • Title

    Sharing and Reusing Context Information in Ubiquitous Computing Environments

  • Author

    De Lourdes Martinez-Villasenor, Maria ; Gonzalez-Mendoza, Miguel

  • Author_Institution
    Univ. Panamericana Campus Mexico, Mexico City, Mexico
  • fYear
    2014
  • Firstpage
    227
  • Lastpage
    230
  • Abstract
    In highly dynamic environments it is not enough to model the user in order to provide proactive and personalized services. User features, preferences and needs change depending on different contextual aspects such as physical, social and computational conditions. Taking context into account in these environments implies coping with high openness and dynamicity of users and devices. Moreover, context modeling and context management is a complex task performed repeatedly in distributed environments, and users constantly share information about current activities, location, social events, goals, etc. In different applications. There is huge context information scattered over user´s applications and devices that can be taken advantage of to provide more accurate adaptation and personalization. In this paper, we analyze the literature solutions with a focus on context information interoperability. We aim to identify basic requirements to perform the complex task of sharing and reusing context information between heterogeneous context providers and context consumers.
  • Keywords
    open systems; ubiquitous computing; context consumers; context information interoperability; context information reuse; context information sharing; heterogeneous context providers; ubiquitous computing; Computational modeling; Context; Context modeling; Interoperability; Ontologies; Pervasive computing; Standards; Context information interoperability; context integration; context sharing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence (MICAI), 2014 13th Mexican International Conference on
  • Print_ISBN
    978-1-4673-7010-3
  • Type

    conf

  • DOI
    10.1109/MICAI.2014.41
  • Filename
    7222869