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2006
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A framework for content-based image retrieval fully exploiting the semantics of annotation

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A framework for content-based image retrieval fully exploiting the semantics of annotation
We present a framework and an application for semanticbased retrieval of images. Our approach adopts a two-level ontology structure in a subset of OWL-DL. In the core ontology only generic spatial relations are represented, while domain ontologies are specific for the image collection. The approach allows semantic-based relevence ranking and results explanation for query refinement, by exploiting standard and non-standard inferences in Description Logics.
Tommaso Di Noia, Eugenio Di Sciascio, Francesco di
Added 14 Jun 2010
Updated 14 Jun 2010
Type Conference
Year 2006
Where SAC
Authors Tommaso Di Noia, Eugenio Di Sciascio, Francesco di Cugno, Eufemia Tinelli, Francesco M. Donini
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