Semantic Discovery and Invocation of Functionalities for the Web of Things

Michael Mrissa 1 Lionel Médini 2, 3 Jean-Paul Jamont 4
1 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 DRIM - Distribution, Recherche d'Information et Mobilité
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 TWEAK - Traces, Web, Education, Adaptation, Knowledge
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : As the number of connected objects increases, there is a need to propose solutions that exploit the possibilities the Web offers to facilitate communication between physical objects and make rich user interaction a reality. Our work relies on the notion of avatar, designed to extend an object on the Web. An avatar provides an entry point to the object it extends, as well as additional intelligence via internal reasoning and interaction with other avatars and external Web resources. We herein propose a model for the reasoning part of the avatar, to expose semantic, high-level behaviors (aka functionalities) on the Web, based on capabilities that available objects offer. We motivate our work with a temperature regulation scenario, before presenting our model and the reasoning mechanisms put into play in this context, and we evaluate the applicability of our proposal with an implementation.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01271918
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Tuesday, February 9, 2016 - 6:27:52 PM
Last modification on : Friday, April 26, 2019 - 11:16:01 PM

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  • HAL Id : hal-01271918, version 1

Citation

Michael Mrissa, Lionel Médini, Jean-Paul Jamont. Semantic Discovery and Invocation of Functionalities for the Web of Things. IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, Jun 2014, Parma, Italy. pp.281-286. ⟨hal-01271918⟩

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