New-Fangled Alignment of Ontologies for Content Based Semantic Image Retrieval

This paper highlights content based image retrieval system using alignment of ontologies. The traditional contents-based image retrieval systems using single ontology retrieve imprecise images. To overcome this weakness, proposed image retrieval system designed using core semantic multiple ontology which merges feature ontology, semantic feature ontology, user ontology and metadata ontology. Proposed content based image retrieval system reduce semantic gap and provides highly accurate, efficient and effective image retrieval result.