Study on Digital Content Representation from Direct Label Graph to RDF/OWL Language into Semantic Web

Abstract:

An increasing number of publication and consumptions of media data on the social and dynamic web has allowed ontology technology to grow up unpredictable. News agencies, cultural heritage sites, social media companies and ordinary users contribute a large portion of media contents across web community. These huge amounts of media contents are generally accessed via standardized and proprietary metadata formats through semantic web. But nearly all cases need specific, standardized, and more expressive methods to represent media data into the knowledge representation paradigm. This paper proposes the proper methods to express media ontology based on the nature of media data. At first RDF graph representation model is used to show the expressive power of domain classification with direct label graph concepts. Secondly, events and object class domain are used to express relational properties of media content. Finally, the events and object class domain is expressed into RDF/OWL language, as preferable and standardized language to represent media data in the semantic web.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 3304-3309
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.3304
• Online since: September 2014
• Authors: Khamis Abdul Latif Khamis*, Luo Zhong, Hua Zhu Song
• Keywords: Digital Content, Direct Label Graph (DLG), Event Ontology, Media Ontology, Object Ontology

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DOI: 10.1145/1772690.1772775