We present a framework and an application for semantic-based 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.

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

Tommaso Di Noia;Eugenio Di Sciascio;Francesco M. Donini
2006-01-01

Abstract

We present a framework and an application for semantic-based 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.
2006
21st Annual ACM Symposium on Applied Computing, SAC '06
1-59593-108-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/14494
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