General Framework for Text Classification Based on Domain Ontology

Abstract

Ontology can provide a powerful representation of information space and solve many semantic problems. It is wonderful to apply ontology to text classification. This paper proposes a general framework for text classification, which can overcome the limitations of traditional text classification methods. The results of experiment prove that the general framework is applicable across different domains and this method produces better performance.