The main objective of this paper is how to use the ontology for semantic image annotation and search in huge collection of images. We have presentenced a framework for applying the semantics to enhance image retrieval. The entire problem is considered in two levels. First, An ontology is created to define the semantic space. Secondly, Natural language sentences are converted in to SPARQL statements and the relevant images are accessed using SPARQL query. The ontologies are represented in RDF form and these are based on existing data standard and knowledge corpura. Since the RDF structure provides the formal way of annotating the images, the image retrieval task is simplified as compared with earlier approaches. Retrieval is done by using the keyword (thesauri) description. We also show that we are able to retrieve desired images using the SPARQL query language (7).

1. N.Magesh - “ Machine Translator “, National Conference on Soft Computing held in 19-20 March 2009 at IRTT, Erode.
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7. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 29, NO. 3, MARCH 2007, Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, and NunoVasconcelosSupervised Learning of Semantic Classes for Image annotation and Retrieval.
8. Elsevier, Image and Vision Computing 22 (2004) 251–267, “Language-based querying of image collections on the basis of an extensible ontology”, Christopher Town, David Sinclair,
9. Myunggwon Hwang, Hyunjang Kong, Pankoo Kim - “The Design of the Ontology Retrieval System on the Web”, ICA0T2006, Feb. 2006.

Information retrieval Semantic Web Image retrieval Ontology Thesaurus RDF and OWL