Ontology based Categorization of News Article Documents

Abstract

Nowadays, the number of electronically available information and knowledge from the internet is rapidly growing. Therefore it becomes difficult to find relevant information users need. The most successful example to organize this mass of information is classifying different text documents according to their topics. Text categorization is a general tool for information retrieval, knowledge management and knowledge discovery. In this paper, ontology based news articles documents categorization is introduced. In the process of categorization the incoming news document is categorized into possible concept(s) from a predefined set of concepts. The ontology provides a hierarchical structure where each concept can be treated as a category. Then news can be retrieved by keyword and concept later. Top down method according to the ontology structure is used for classification.