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Article . 2023
License: CC BY
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Article . 2023
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Linking (In)Completeness: A Collaborative Approach to Representing People in Art Provenance Data

Authors: Rother, Lynn; Mariani, Fabio; Koss, Max;

Linking (In)Completeness: A Collaborative Approach to Representing People in Art Provenance Data

Abstract

Provenance texts contain information on the different parties involved in the events that characterize the ownership history of an artwork. Structuring provenance data represents an opportunity for institutions to not only be users of but also contributors to shared vocabularies, such as the Getty's Union List of Artist Names (ULAN).

Keywords

Paper, Shared Vocabularies, Thesauri, History, Long Presentation, public humanities collaborations and methods, personography, Galleries and museum studies, digital biography, Art history, Art Provenance, and prosopography, artificial intelligence and machine learning, Digital Art History, Linked Open Data, linked (open) data

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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