Volume 9, Number 18, December 2019

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

  Authors

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

  Abstract

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.

  Keywords

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

Conference Proceedings