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 / Di Noia, Tommaso; Di Sciascio, Eugenio; di Cugno, Francesco; Tinelli, Eufemia; Donini, Francesco M.. - STAMPA. - (2006), pp. 1709-1710. (Intervento presentato al convegno 21st Annual ACM Symposium on Applied Computing, SAC '06 tenutosi a Dijon, France nel April 23-27, 2006) [10.1145/1141277.1141682].
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
