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

Authors:
Tommaso Di Noia;Eugenio Di Sciascio;Francesco di Cugno;Eufemia Tinelli;Francesco M. Donini
Affiliations:
Politecnico di Bari, Bari, Italy;Politecnico di Bari, Bari, Italy;Politecnico di Bari, Bari, Italy;Politecnico di Bari, Bari, Italy;Universita della Tuscia, Viterbo, Italy
Venue:
Proceedings of the 2006 ACM symposium on Applied computing
Year:
2006

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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.