Retrieving of Text Data of Web Pages Using Artificial Neural Network (XML Tree Model)

The goal of this paper is to present an information retrieval model which extracts the information out of text documents with neural languages through neural networks. In this paper, query is checked with back-propagation perceptron neural network. In this method, if the entered query is a keyword for the text, it would be added to the vector space matrix and then the proper document is chosen and returned depending on the relationship between the keyword and text documents.

Keywords:

Information Retrieval , Artificial Neural Network , Error Back-propagation , and Semantic web