Development of Semantic Model and Information Exploration System for TV Media

This study proposes an ontology-based system which takes the non-structured/semi-structured heterogeneous TV content in heterogeneous Web resources and converts it to the structured form in a semantic data model. The TV content is discovered and redefined after aligning in semantic base according to client requirements by a semantic search agent. Through a system that is intuitive and semantic, semantic based matchmaking is applied between the concepts of required TV content information and related heterogeneous Web resources. By this study, a search assistant system which makes semantic searching in TV Web content, will be designed to satisfy user needs. As a result, the system architecture is proposed based on the TV domain ontology base facilitating personalized access to heterogeneous TV contents of Web documents.