The inductive learning algorithm processes these encoded vectors to develop classifiers for the elements of the XML documents. The advantages of this learning algorithm are that it is very fast, is not sensitive to missing features, can deal with large number of features and is incremental. For our application See5.0 has generated a set of seven rules. These rules deal with different elements of XML marked-up letters. The second phase of the system, which is an online process, involves the application of extracted rules to unmarked letters to produce XML documents.
Documents can either be well-formed or valid, according to the user's preference.
Once a letter selected by the user is marked up, it can be parsed to check the accuracy of the mark-up is. If the text is not supported by the system then an error message is displayed. Accuracy rate is calculated by considering the correctly marked-up elements from total number of elements of the tested letters. Our proposed system uses XML for the management and retrieval of hypertext documents according to the structural information preserved in them. The system marks up the documents automatically by capturing the information in neighbouring documents on the self-organizing map.