• DocumentCode
    2373386
  • Title

    A Light Reasoning Infrastructure to Enable Context-aware Mobile Applications

  • Author

    Iglesias, Josué ; Bernardos, Ana M. ; Álvarez, Alejandro ; Sacristán, Marcos

  • Author_Institution
    Univ. Politec. de Madrid, Madrid, Spain
  • fYear
    2010
  • fDate
    11-13 Dec. 2010
  • Firstpage
    386
  • Lastpage
    391
  • Abstract
    This paper presents a light inference system for context management, ready to perform reasoning tasks in resource-constrained devices. The inference system is part of a service-oriented mobile software framework which runs on Javaenabled handheld devices. This framework serves to facilitate the creation of context-aware applications, as it decouples sensor´s data acquisition and context processing from the application logic itself. The inference architecture is composed by different modules, some of them encapsulate existing tools (ìJena and Bossam) that have been adapted to the mobile working environment. The (rule-based) reasoning is prepared to use a general ontology. Both applications and the framework´s components may configure the query set in order to retrieve the information they need from the inference system. In the paper, a validation example shows how this process is done.
  • Keywords
    Java; inference mechanisms; mobile computing; ontologies (artificial intelligence); Java-enabled handheld devices; context management; context-aware applications; context-aware mobile applications; light inference system; light reasoning infrastructure; ontology; reasoning tasks; resource-constrained devices; rule-based reasoning; sensor data acquisition decoupling; service-oriented mobile software framework; Context-awareness; data modeling; light ontology management; reasoning; service-oriented architectures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded and Ubiquitous Computing (EUC), 2010 IEEE/IFIP 8th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-9719-5
  • Electronic_ISBN
    978-0-7695-4322-2
  • Type

    conf

  • DOI
    10.1109/EUC.2010.64
  • Filename
    5703549