Introducing VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in art provenance data
- The acronym VISU refers to Vagueness, Incompleteness, Subjectivity, and Uncertainty found in provenance records, which document the history of ownership and socio-economic custody changes of an object. VISU information represents the intellectual effort of researchers and its limits in reconstructing historical events from archival sources. Although provenance has mainly been used in the past to assess an object’s artistic and economic value, it has recently become crucial information from an ethical and legal viewpoint. In light of this, there is a growing interest in structuring provenance information in a machine-readable format and making this data openly accessible to anyone, e.g., by publishing provenance data as linked open data. However, with the impetus to publish provenance linked open data, we risk losing or simplifying VISU information. After describing VISU information and analysing current community standards, this article illustrates how to represent such information inThe acronym VISU refers to Vagueness, Incompleteness, Subjectivity, and Uncertainty found in provenance records, which document the history of ownership and socio-economic custody changes of an object. VISU information represents the intellectual effort of researchers and its limits in reconstructing historical events from archival sources. Although provenance has mainly been used in the past to assess an object’s artistic and economic value, it has recently become crucial information from an ethical and legal viewpoint. In light of this, there is a growing interest in structuring provenance information in a machine-readable format and making this data openly accessible to anyone, e.g., by publishing provenance data as linked open data. However, with the impetus to publish provenance linked open data, we risk losing or simplifying VISU information. After describing VISU information and analysing current community standards, this article illustrates how to represent such information in publishing provenance linked open data.…
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| Author: | Fabio MarianiORCiDGND |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-1256508 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/125650 |
| URL: | https://nbn-resolving.org/urn:nbn:de:0074-3602-3 |
| ISSN: | 1613-0073OPAC |
| Parent Title (English): | COMHUM 2022 - Computational Methods in the Humanities 2022: proceedings of the Workshop on Computational Methods in the Humanities 2022, Lausanne, Switzerland, June 9–10, 2022 |
| Publisher: | CEUR-WS |
| Place of publication: | Aachen |
| Editor: | Yannick Rochat, Coline Métrailler, Michael Piotrowski |
| Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2025/10/02 |
| Year of first Publication: | 2022 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2025/10/06 |
| First Page: | 63 |
| Last Page: | 84 |
| Series: | CEUR Workshop Proceedings ; 3602 |
| 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 |
