Developing Application Based Upon An Ontology-Based Modelling of Vietnamese Traditional Dances

With traditional dance and other intangible cultural heritage at risk, there is a need for intelligent storage repositories for management of large-scale heterogenous digital content. Ontology-based applications are becoming more prevalent as semantic technologies come of age. These applications exploit the content encoded in ontologies to represent different tasks. In this paper, we propose to develop an application based upon an ontology-based modelling of Vietnamese Traditional Dance (VTD). Accordingly, we concentrate on implementing this modelling through analyzing, classifying and determining the primary features to serve for searching VTD videos. Additionally, we present some specific cases using a lightweight ontology, and implemented using description logic that underlies the web ontology language OWL2-QL for representation, reasoning and querying VTD ontology-based modelling.