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HyLAR: Hybrid Location-Agnostic Reasoning

Mehdi Terdjimi 1, 2 Lionel Médini 1 Michael Mrissa 2 
1 TWEAK - Traces, Web, Education, Adaptation, Knowledge
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : The question of client-side reasoning is crucial to semantic web application design as client performances drastically increase. It is an opportunity for ubiquitous devices to use semantic technologies. In this paper, we propose a lightweight, modular and adaptive architecture developed in JavaScript for hybrid client/server side reasoning. We evaluate the performance of the reasoning process with different browsers, devices and network conditions, and discuss the best strategy with respect to the envisioned reasoning tasks.
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Submitted on : Monday, January 18, 2016 - 5:20:41 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:10 PM


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  • HAL Id : hal-01154549, version 2


Mehdi Terdjimi, Lionel Médini, Michael Mrissa. HyLAR: Hybrid Location-Agnostic Reasoning. ESWC Developers Workshop 2015, May 2015, Portoroz, Slovenia. pp.1. ⟨hal-01154549v2⟩



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