An Automatic Document Classifier System based on Ontology and the Naíve Bayes
Classifier is proposed in this paper. The main concept is to first establish a keyword …

Ontology-based documents classification method is introduced to solve the problem of
classifier training and not considering semantic relations between words in traditional …

Successful text classification is highly dependent on the representations used. Currently,
most approaches to text classification adopt thebag-of-words' document representation …

For document classification, a domain ontology is first automatically constructed based on
formal concept analysis. A document classification system, DCSO, is then proposed based …

The use of an ontology in order to provide a mechanism to enable machine reasoning has
continuously increased during the last few years. This paper proposed an automated …

The process of Web document classification involves calculating similarities between
documents and categories by using the information extracted from them. In recent years …

The use of ontology in order to provide a mechanism to enable machine reasoning has
continuously increased during the last few years. This paper suggests an automated method …

This paper suggests an automated method for document classification using an ontology,
which expresses terminology information and vocabulary contained in Web documents by …

To overcome the limitations of traditional text classification approaches based on bag-of-
words representation and to effectively incorporate linguistic knowledge and conceptual …

Huge volumes of worldwide accessible information have led to the tool necessity for better
handling of massive information to overcome the conventional manual method. Thus …