Semantically Tagging Images of Landmarks

Semantic tagging allows images to be linked with URIs from web resources. Disambiguating URIs which correspond with an image’s visual content is challenging. Previous work has largely failed to effectively contextualise the knowledge provided by the Semantic Web and the user-provided keyword tags in images. We propose an algorithm which uses geographical coordinates and keywords of similar images to recommend semantic tags that describe an image’s visual content. Our algorithm uses the semantic stores YAGO2, DBPedia and Geonames. These stores allow us to handle multi-lingual keyword tags and disambiguate between alternative names for landmarks.