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Introducing Reasoning into a Knowledge Management Tool: An Industrial Case Study

Olivier Carloni 1 Marie-Laure Mugnier 2 Michel Leclère 2
1 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This paper is devoted to an industrial case study focused on the issue of how to enhance an existing knowledge management tool (ITM) with reasoning capabilities, by introducing a semantic query mechanism as well as validation and inference services. ITM knowledge representation language is based on topic maps. We show that these topic maps (and especially those describing the domain ontology and annotation base) can be naturally mapped to the SG family, a sublanguage of conceptual graphs. This mapping equips ITM with a reasoning service. We finally present a media monitoring system benefiting from this transformation and combining ITM with the conceptual graph engine CoGITaNT.
Mots-clés : Web Sémantique Semantic Web Artificial Intelligence Intelligence Artificielle Topic Maps Graphes Conceptuels Conceptual Graphs
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00156532
Contributor : Olivier Carloni <>
Submitted on : Thursday, June 21, 2007 - 2:45:46 PM
Last modification on : Wednesday, June 5, 2019 - 11:58:13 AM

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  • HAL Id : lirmm-00156532, version 1

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CNRS | INRIA | GRAPHIK | LIRMM | MIPS | UNIV-MONTPELLIER

Citation

Olivier Carloni, Marie-Laure Mugnier, Michel Leclère. Introducing Reasoning into a Knowledge Management Tool: An Industrial Case Study. IEA-AIE'06: Advances in Applied Artificial Intelligence, 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Jun 2006, Annecy (France), pp.590-599. ⟨lirmm-00156532⟩

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