ABSTRACT

Content based video retrieval systems are not complete in semantic sense. To improve the efficiency and the effectiveness of the retrieval system the content based retrieval systems must be equipped with the semantic based retrieval. In view of end users retrieval demands, content based or concept based retrieval systems will not be complete without context details. A video object that is separated from its context is not complete. The retrieval system is absolute only when the semantic concepts are enforced with the context details like context independent and context dependent information. To provide a complete video semantic concept or information retrieval solution, concept and context based video annotation, indexing and retrieval system should be built. This raises the need for concept based video retrieval systems and Context based information retrieval. To build the concept and context based video annotation the knowledge of the domain should be extracted, represented and stored. Complete knowledge can be represented with the help of Ontology. Ontological systems have more powerful reasoning abilities compared to the common keyword-based systems. Effectiveness and the efficiency of the retrieval system improve with the support of the domain ontology. Domain ontology helps to represent complete knowledge about the domain. The cricket domain has been selected as the primary application. This paper proposes a methodology for construction of cricket context ontology, to support Context based information retrieval. The cricket context ontology is constructed using the Protégé tool. Future work has been discussed at the end.