Some Basics of a Self Organizing Map (SOM) Extended Model for Information Discovery in a Digital Library Context

نویسندگان

  • Jean-Charles Lamirel
  • Jacques Ducloy
  • Hager Kammoun
چکیده

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 pr inciples are fi rs t ly descr ibed. 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.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Landforms identification using neural network-self organizing map and SRTM data

During an 11 days mission in February 2000 the Shuttle Radar Topography Mission (SRTM) collected data over 80% of the Earth's land surface, for all areas between 60 degrees N and 56 degrees S latitude. Since SRTM data became available, many studies utilized them for application in topography and morphometric landscape analysis. Exploiting SRTM data for recognition and extraction of topographic ...

متن کامل

SOMLib: A Distributed Digital Library System based on Self-Organizing Maps

We describe an architecture for a distributed digital library system based on an unsupervised neural network model, namely the Self-Organizing Map. The system allows the clustering of text documents forming the basis for intelligent information retrieval. User prooles can be combined with full text queries or sample texts to locate documents within the library system. Contrary to conventional a...

متن کامل

The Time Adaptive Self Organizing Map for Distribution Estimation

The feature map represented by the set of weight vectors of the basic SOM (Self-Organizing Map) provides a good approximation to the input space from which the sample vectors come. But the timedecreasing learning rate and neighborhood function of the basic SOM algorithm reduce its capability to adapt weights for a varied environment. In dealing with non-stationary input distributions and changi...

متن کامل

Gait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map

The aim of this work is to use Self Organizing Map (SOM) for clustering of locomotion kinetic characteristics in normal and Parkinson’s disease. The classification and analysis of the kinematic characteristics of human locomotion has been greatly increased by the use of artificial neural networks in recent years. The proposed methodology aims at overcoming the constraints of traditional analysi...

متن کامل

Gait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map

The aim of this work is to use Self Organizing Map (SOM) for clustering of locomotion kinetic characteristics in normal and Parkinson’s disease. The classification and analysis of the kinematic characteristics of human locomotion has been greatly increased by the use of artificial neural networks in recent years. The proposed methodology aims at overcoming the constraints of traditional analysi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000