Recommending New Tags Using Domain-Ontologies

Tagging is a representative activity of social Web, useful for organizing information into knowledge. This activity presents some open issues, due in the majority to the manual insertion of tags. On the other hand, domain ontology is a specification of the conceptualization of a domain in terms of concepts, attributes and relations. Domain ontologies have a good potential to improve information organization, management and understanding. In this paper, we propose an automated approach for recommending new tags for Web resources by using domain ontologies and key-phrases. The proposed approach is implemented in the PIRATES framework, a prototype system for personalized content retrieval, annotation, and classification. Our approach is then explained with a simple use-case scenario.