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

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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

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Applied Computing | Core Ontology | Generic Spatial Relations | SAC 2006 | Two-level Ontology Structure |

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

Applied Computing | Core Ontology | Generic Spatial Relations | SAC 2006 | Two-level Ontology Structure |

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