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Context-aware Reasoning Engine with High Level Knowledge for Smart Home

Abstract : We are interested in providing people living or working in smart home environment with sensor network based assistive technology. We propose a novel rule-based reasoning engine that could be used in ubiquitous environments to infer logical consequences from events received over a sensor network. We introduce methods for rule design with high level knowledge input and using minimum information to infer micro-context. Personalised profiles can be introduced into the reasoning engine to customise features for a particular user using our rule refinement and generation module. New mechanism for sensor-engine communication is also introduced. As a proof of concept, a prototype system has been developed to demonstrate the functionalities of our reasoning engine in a simulated smart home environment.
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https://hal.sorbonne-universite.fr/hal-00739838
Contributor : Hamdi Aloulou <>
Submitted on : Tuesday, October 9, 2012 - 9:48:18 AM
Last modification on : Wednesday, November 4, 2020 - 3:38:31 PM

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  • HAL Id : hal-00739838, version 1

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Zhu Jiaqi, Lee Vwen Yen, Jit Biswas, Mounir Mokhtari, Thibaut Tiberghien, et al.. Context-aware Reasoning Engine with High Level Knowledge for Smart Home. 1st International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS), Mar 2011, Portugal. pp.292-297. ⟨hal-00739838⟩

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