Cinema Music Semantic Knowledge Management

India is the world‘s largest producer of films. Music in Indian cinema is a substantial revenue generator. It makes up 72% of the music sales in India. Due to the rapid growth in technology the volume of music data is increasing day by day. Music lovers would like to listen to their choice of music based on the various semantic concepts. Most of the current MIR techniques refer to the low level features and text based annotation and retrieval techniques. Text based approaches do not serve the users requirements. As it is a known fact that there is a huge gap between the low level feature and the semantic concepts. User search is usually based on the semantic concepts. Ontology plays a vital role in semantic knowledge representation. The use of ontology in information retrieval enhances the performance of the retrieval system. The current research work focuses on the semantic knowledge identification and representation of Indian cinema music. As much work has not been done in this area this paper focuses on construction of a high level frame work of Indian cinema music ontology. The proposed method is been implemented using protégé. Conclusion and future work is been discussed at the end.