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.
