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Downloads: An OWL/SWRL based Diagnosis Approach in a Pervasive Middleware
Downloads Home > Scientific papers > An OWL/SWRL based Diagnosis Approach in a Pervasive Middleware

An OWL/SWRL based Diagnosis Approach in a Pervasive Middleware Final


Weishan Zhang and Klaus Marius Hansen, Department of Computer Science, University of Aarhus, Denmark:

Diagnosis is the most important step for achieving selfhealing of systems, which is a challenge in pervasive computing. In this paper, we present a semantic, state machinebased diagnosis approach for a web-service based middleware. We use OWL ontologies and SWRL to develop both diagnosis and monitoring rules, based on state changes and also invocation relationships. Malfunction information and its resolution are encoded in an OWL ontology as a part of a Device ontology, and can be used at run time to check how to resolve malfunction, and further to fulfill self-healing activities. SWRL rules at both device level and system level are designed and will be executed as needed.

The paper was presented at the The 20th International Conference on Software Engineering and Knowledge Engineering (SEKE\'2008) 1-3 July 2008 in Redwood City, USA.
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02 May 2008 11:33
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The Hydra project is co-funded by the European Commission within the Sixth Framework Programme in the area of Networked Embedded Systems under contract IST-2005-034891



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