RDF-ization of DICOM Medical Images towards Linked Health Data Cloud
This paper proposes a novel strategy for semantifying DICOM medical images (RDF-ization) automatically. We define an architecture that involves processes for extracting, anonymizing, and serializing metadata comprised in DICOM medical images into RDF/XML. These processes allow for semantically enric...
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| Formato: | Artículos |
| Lenguaje: | eng |
| Publicado: |
2016
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| Acceso en línea: | http://repositorio.educacionsuperior.gob.ec/handle/28000/2848 |
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| Sumario: | This paper proposes a novel strategy for semantifying DICOM medical images (RDF-ization) automatically. We define an architecture that involves processes for extracting, anonymizing, and serializing metadata comprised in DICOM medical images into RDF/XML. These processes allow for semantically enriching and sharing the metadata of DICOM medical files through the Linked Health Data cloud. Thereby providing enhanced query capabilities with respect to the ones offered by current PACS environments, while exploiting all advantages of the Linking Open Data (LOD) cloud and SemanticWeb technologies. |
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