An ontology-based approach to auto-tagging articles
Gridaphat Sriharee · Vietnam Journal of Computer Science · 2014
This paper proposes an auto-tagging methodology using tags defined in the ontology. The auto-tagging methodology consists of two main processes: classification process and tag selection process. The classification process concerns semantic analysis which includes the term-weight matrix and cosine similarity. The tag selection process focuses on the selection of appropriate ontological tag—tag defined in the ontology, for the article. The ontology weight computing is proposed for tag suggestion. A technique for ontology building using blog articles is also presented as well as an extensive experiment. The experiment results show that the proposed approach is an alternative methodology for auto-tagging articles in which the obtained tag is not just the piece of text but it presents the meaning of the articles.