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
Link To Document :
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