Context-Based Movie Searching Using Semantic Web

When searching for a movie, users often remember only the incidents happened in the movie instead of the actors or directors of that movie. However, these searches are not supported in our current movie information systems as data query is usually based on keywords. This research proposes a solution to search and query movies based on the content of the movie or the incidents happened in the movie. In our research, we have analysed and designed some movie representation models suitable for context-based movie searching. We also propose a quadruple-based representation model to resolve the disadvantages in current semantic web’s triple-based model. Our system is capable of processing user requests precisely and has proven to have advantages over current movie information systems.