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A self organizing map (SOM) extended model for information discovery in a digital library context

Jean-Charles Lamirel 1 Jacques Ducloy Hager Kammoun 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents the MicroNOMAD Discovering Tool. Its main characteristic is both to provide an user with emergent analyses of a multimedia database content and with querying and browsing guidelines through the use of an advanced topographic interface model. The model also allows the user to dynamically exploit semantic exchanges between multiple viewpoints on the database. The tool basic principles are firstly described. A tool experimentation which is achieved on the multimedia data-base associated to the BIBAN"Art Nouveau" server is then developed. It clearly demonstrates that the combination of both the topographic structures, the textual and iconographic interaction, and the viewpoint exchanges proposed by the MicroNOMAD core model could play an essential role in several discovering and browsing processes.
Mots-clés : information retrieval multimedia information discovery classification neural networks data visualization découverte d'information réseaux neuronaux visualisation de données recherche d'information
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Conference papers
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https://hal.inria.fr/inria-00099280
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 8:52:23 AM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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  • HAL Id : inria-00099280, version 1

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INRIA | CNRS | LORIA | UNIV-LORRAINE

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Jean-Charles Lamirel, Jacques Ducloy, Hager Kammoun. A self organizing map (SOM) extended model for information discovery in a digital library context. ACM 6TH SIGKDD Conference: Workshop on Multimedia Data Mining, ACM, 2000, Boston, MA, USA, 7 p. ⟨inria-00099280⟩

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