NeuroCOLT
workshop
on
Applications of Learning to Text and Images
Windsor, 30 April - 2 May 2001
Cumberland
Lodge
A multiSOM
approach exploiting synergy between text and image for information
discovery in a multimedia context
Jean-Charles
Lamirel
lamirel@loria.fr
A lot of experiments have shown that images, graphics and iconographic
resources, thanks to their explanatory power, can be considered
as a very fundamental component of a man-machine interface. The
goal of our approach is to make use of this oustanding property
of the images in order to provide a Digital Library with Information
Discovering capabilities. The main tool that will be presented
in this paper is the MicroNOMAD Discovering Tool. Its most important
characteristic is both to provide user with emergent and Ğeasy
to useğ analyses of an iconographic database content and with
overall querying and browsing guidelines through the use of an
advanced topographic interface model. Conversely to a lot of other
more classical models, the MicroNOMAD core model also allows the
user to exploit dynamic exchanges between multiple viewpoints
(i.e classifications) on the database. The core model of the MicroNOMAD
tool strongly derives from the multimap topographic model which
has been successfully tested on textual data in the framework
of the NOMAD IR System. This latter model can be itself considered
as a extension of the basic Kohonen's topographic map model. The
MicroNOMAD core model added-value is then mainly to develop a
synergy between the browsing and discovering capabilities of the
NOMAD's original multimap model, on the one hand, and the natural
capability of the imbedded Kohonen map model to support at the
same time concept mapping and image mapping, on the other hand.