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Linking (in)completeness: a collaborative approach to representing people in art provenance data

  • 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).

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Metadaten
Author:Lynn Rother, Fabio MarianiORCiDGND, Max Koss
URN:urn:nbn:de:bvb:384-opus4-1257003
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/125700
Parent Title (English):ADHO Digital Humanities Conference 2023 (DH2023), 10th-14th July 2023, Graz, Austria
Publisher:CERN
Place of publication:Genf
Type:Conference Proceeding
Language:English
Date of Publication (online):2025/10/07
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2025/10/07
Edition:Online-Ressource
First Page:1
Last Page:2
DOI:https://doi.org/10.5281/zenodo.8107371
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Computerlinguistik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)