• DocumentCode
    3402606
  • Title

    Adding High-level Reasoning to Efficient Low-level Context Management: A Hybrid Approach

  • Author

    Nicklas, Daniela ; Grossmann, Matthias ; Minguez, J. ; Wieland, Matthias

  • Author_Institution
    Inst. of Parallel & Distrib. Syst., Univ. Stuttgart, Stuttgart
  • fYear
    2008
  • fDate
    17-21 March 2008
  • Firstpage
    447
  • Lastpage
    452
  • Abstract
    Rule-based context reasoning is an expressive way to define situations, which are crucial for the implementation of many context-aware applications. Along the scenario of the Conference Guard application we show how this reasoning can be done both by leveraging an efficient context management (realized by the Nexus platform) and by a generic rule based service. We present the architecture of the Nexus semantic service, which uses the underlying definition of a low-level context model (the Nexus Augmented World Model) to carry out rules given in first order logic. We realize this service in a straight forward manner by using state-of-the-art software components (the Jena 2 framework [1]) and evaluate the number of instances this approach can handle. Our first experiences show that a pre-selection of instances is necessary if the semantic service should work on a large-scale context model.
  • Keywords
    home automation; inference mechanisms; knowledge based systems; mobile computing; object-oriented programming; Nexus semantic service; conference guard application; context-aware management; rule-based context reasoning; smart room; software component; Application software; Collaborative work; Computer architecture; Conference management; Context modeling; Context-aware services; Intelligent sensors; Logic; Ontologies; Pervasive computing; context modeling; context reasoning; nexus platform; smart room;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications, 2008. PerCom 2008. Sixth Annual IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-0-7695-3113-7
  • Type

    conf

  • DOI
    10.1109/PERCOM.2008.64
  • Filename
    4517436