Image classification and retrieval based on crisp and Fuzzy ontology

This paper proposes crisp and fuzzy ontology model for reducing the Semantic gap between the user requirements and the System model in order to provide better image classification and retrieval. The approach is based on building ontology of natural scenes using Protégé for querying in more natural way and then integrating fuzzy logic to improve the image retrieval.