• DocumentCode
    715684
  • Title

    SAMAF: Situation aware mobile apps framework

  • Author

    Feichen Shen ; Yugyung Lee

  • Author_Institution
    CSEE Dept., Univ. of Missouri, Kansas City, MO, USA
  • fYear
    2015
  • fDate
    23-27 March 2015
  • Firstpage
    26
  • Lastpage
    31
  • Abstract
    Mobile devices have become ubiquitous, with their adoption being driven by their immediacy and sensing capabilities. Applications or apps that run on a portable computing device have recently surged in popularity. An increasing number of mobile apps and their diverse users make it difficult to select the correct app to respond to evolving situations. To address this issue, we have developed a semantic framework for mobile apps named the Situation Aware Mobile Apps Framework (SAMAF) that can achieve the goal of dynamic and automated adaptive apps for software systems responding to the mobile users´ context and environmental changes. In this paper, we have implemented the SAMAF system. An assessment of the prototype of the SAMAF system has been conducted from the perspective of performance and adaptability.
  • Keywords
    mobile computing; portable computers; SAMAF; automated adaptive apps; context changes; dynamic apps; environmental changes; mobile devices; portable computing device; sensing capabilities; situation aware mobile apps framework; Adaptation models; Cognition; Context; Context modeling; Mobile communication; Ontologies; Semantics; Adaptation; Aware; Context; Mobile; Siutation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on
  • Conference_Location
    St. Louis, MO
  • Type

    conf

  • DOI
    10.1109/PERCOMW.2015.7133988
  • Filename
    7133988