Self-organizing maps for interactive search in document databases

Authors:
Andreas Nürnberger;Aljoscha Klose;Rudolf Kruse
Affiliations:
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA;Faculty of Computer Science, Otto-von-Guericke University of Magdeburg, Universitätsplatz 2, 39106 Magdeburg, Germany;Faculty of Computer Science, Otto-von-Guericke University of Magdeburg, Universitätsplatz 2, 39106 Magdeburg, Germany
Venue:
Intelligent exploration of the web
Year:
2003

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Abstract

In this contribution we discuss the application of self-organizing maps to arrange documents based on a similarity measure. For this, the concepts of self-organizing systems will be briefly reviewed, an overview of methods for the required document pre-processing and encoding will be given and applications of self-organizing maps in document retrieval will be discussed. Furthermore, a prototypical implementation of a software tool for interactive search in document databases will be presented, which combines conventional keyword search methods with the possibility to interactively explore a document collection. The usability of the presented approach is shown by sample searches.