Abstract
This paper describes the design, implementation and application of μOR, a lightweight micro OWL Description Logic Reasoning system developed for the resource-constrained devices to enrich them with integrated knowledge processing and reasoning capabilities, and leveraging them to the next generation Ambient Intelligent devices. We have investigated the most commonly used reasoning systems and found most of them infeasible to be used solely on the devices. μOR is based on a subset of OWL-Lite entailments and the SCENTRA algorithm, a simple resolution and patterns matching algorithm that we have developed for resolving the queries and matching the knowledge base triples.
This work is partially supported by European Commission within the context of SmartHEALTH IP Project, contract 016817, priority FP6-2004-IST-NMP-2 http://www.smarthealthip.com
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Ali, S., Kiefer, S. (2009). μOR – A Micro OWL DL Reasoner for Ambient Intelligent Devices. In: Abdennadher, N., Petcu, D. (eds) Advances in Grid and Pervasive Computing. GPC 2009. Lecture Notes in Computer Science, vol 5529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01671-4_28
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