Revue de l'Information Scientifique et Technique
Volume 24, Numéro 1, Pages 61-65
2019-05-22

A Neural Model For Content-based Xml Information Retrieval



Authors : Bessai-mechmache Fatma Zohra . Abdi Tariq . Hadibi Abdennour .

Abstract

The aim of content-based XML information retrieval system is to select relevant XML elements according to user query expressed by keywords. The main issue for this system is how to select relevant XML elements belonging to various XML document sources in relation to a given query. To do this, we propose a neural XML information retrieval model using Kohonen self-organizing maps. Kohonen self-organizing map produces density map that form the foundations of the XML information retrieval system

Keywords

Neural Networks; Self-organizing maps; heterogeneous XML data; XML Information Retrieval.

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