Folksonomy implementation based on the ART-1 neural network

This document describes the sample implementation of a very popular classification method in the modern internet web applications — folksonomy. This method forces users to assign a particular keywords to the content that they are uploading. Basing on the assigned keywords it is possible to find a similar content. In this paper, there is described the method of finding similar content basing on the ART-1 neural network. Such solution allows to perform a background clustering of a content and speed up the process of retrieving the related data. In case of a heavy exploitation of an internet application, this might be a big advantage.