Semantic Content Description for the Visual Arts
نویسنده
چکیده
Iconography is the domain of understanding the meaning of historical visual artworks. A formalization of iconographic knowledge can provide a basis for a semi-automatic description of what the content shown on a historical image means without the need for a domain expert. Semantic Web standards can be applied for an iconographic knowledge representation using multiple levels of expressiveness to model the description. This formalized knowledge can then be leveraged to infer the meaning of images based on a description of the depicted visual elements. Having semantically described the content, this information can be used to compare images based on their meaning and find related images with a similar semantic description. We present a novel approach for representing iconographic knowledge using a multi-level semantic model in combination with an iconographic inference rule set. This can be used as a basis for similarity search based on the meaning of the content of historical images.
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