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AutoTag : A Web-Based Automatic Document Markup System

The increasing acceptance of XML as a standard for document markup promises to provide solutions for the problems of document management and retrieval. However, existing documents must be converted into XML. In this paper we present the AutoTag system, which automatically converts text documents into XML. The system has a hybrid architecture, arranging tagged documents on a twodimensional Self-Organizing Map (SOM) such that nearby locations contain similar documents, and then using an inductive learning algorithm to automatically extract and apply auto-tagging rules from the neighbours of an untagged document. The system is adaptive, so that once a document is tagged in XML, AutoTag learns from its errors in order to improve accuracy. The automatically tagged documents can subsequently be categorized on the Self-Organizing Map, further improving the map's resolution. Our system has been evaluated on a number of different domains, giving good results.