Academy & Industry Research Collaboration Center (AIRCC)

Volume 9, Number 18, December 2019

Toward Multi-label Classification Using an Ontology for Web Page Classification


Yaya Traoré1, Sadouanouan Malo2 and Bassolé Didier1 and Séré Abdoulaye2, 1University Joseph KI-ZERBO, Burkina Faso and 2University Nazi Boni, Burkina Faso


Automatic categorization of web pages has become more significant to help the search engines to provide users with relevant and quick retrieval results. In this paper, we propose a method based on Multi-label Classification (ML) using an ontology which allows the prediction of the categories of a new web page created and tagged. It uses the ontology in the learning phase as well as in the prediction phase. In the learning phase, the ontology is used to build the training set. In the prediction phase, the ontology is used to place the new pages tagged in the most specific categories. The experiment evaluation demonstrates that our proposal shows the substantial results.


Multi-label classification (ML), ontology, categorization, prediction.