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Two LD4L investigations are focusing on identifying external identities and resource types in visual resource metadata during a process of conversion of that metadata to BIBFRAME for compatibility with catalog records expressed in RDF. The metadata for Cornell's collection of Hip Hop flyers, encoded using VRA Core, was selected for a pilot because of the number and range of external references, including musicians, illustrators, events, geographic locations, and other works by the artists involved. The Karma data integration tool from USC's Information Sciences Institute provides a graphical user interface for constructing conversions of VRA to RDF. Harvard has an extensive Visual Image Access system with a metadata schema similar to VRA Core, and Paolo Ciccarese has developed a suite of workflow tools (on GitHub) to serve as a pipeline for both entity resolution and conversion to RDF, including selection of types for visual resources drawn from the Getty Art and Architecture Thesaurus.
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