ENHANCING SEMANTIC WEB IMAGE SEARCH PRECISION

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Udgivet i:International Journal of Advanced Research in Computer Science vol. 2, no. 4 (Jul 2011), p. n/a
Hovedforfatter: T, Sumathi
Andre forfattere: G, Anitha, Clare, Rosealin Mary
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International Journal of Advanced Research in Computer Science
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100 1 |a T, Sumathi 
245 1 |a ENHANCING SEMANTIC WEB IMAGE SEARCH PRECISION 
260 |b International Journal of Advanced Research in Computer Science  |c Jul 2011 
513 |a Journal Article 
520 3 |a Over the past decade the number of images being captured and shared has grown enormously with the advent of the Internet as a medium of sharing resources like images, audio, video, documents etc., the Web users made it a way to interchange the knowledge as well. This behavior of the Web users over the Internet phenomenally turned the WWW into a huge repository of unstructured data inducing a need of the standard based representation of the data over the Internet. This need made itself more demanding because the searching or extraction of the knowledge from the unorganized data was becoming impossible, giving rise to the concept of Semantic Web. The use of XML for representing the data made the situation at the rest in the meanwhile. But, only the syntactical exploitation of the data could not help the situation because the process like searching of the images on the Web demanded the inclusion of the supplement of semantic structures into the list of standards. The Resource Description Framework (RDF) standard, a base technology of the Semantic Web, appeared as an intuitive solution of this problem as it employs the concept of annotation to describe the images and keeps all pieces of information pertaining to the images in the RDF documents, making the search process semantic rather than the traditional. In this paper, the intent is to generate annotated RDF model for semantic retrieval of images using RDF editor for annotation. This RDF model is validated through online W3C RDF validation service. SPARQL, RDF query engine, is used to query the validated RDF model to check the efficiency of image search. Key words: Resource description framework, RDF triples, RDFspecification, semantic web 
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653 |a Metadata 
653 |a Internet 
653 |a Semantic web 
653 |a Computer science 
653 |a Resource Description Framework-RDF 
653 |a Annotations 
653 |a Knowledge representation 
653 |a Semantics 
700 1 |a G, Anitha 
700 1 |a Clare, Rosealin Mary 
773 0 |t International Journal of Advanced Research in Computer Science  |g vol. 2, no. 4 (Jul 2011), p. n/a 
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