Introducing VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Art Provenance Data
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
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 in publishing provenance linked open data.
Original language | English |
---|---|
Title of host publication | Computational Methods in the Humanities 2022 : Proceedings of the Workshop on Computational Methods in the Humanities 2022 Lausanne, Switzerland, June 9–10, 2022. |
Editors | Yannick Rochat, Coline Metrailler, Michael Piotrowski |
Number of pages | 22 |
Volume | 3602 |
Place of Publication | Aachen |
Publisher | Sun Site Central Europe (RWTH Aachen University) |
Publication date | 2023 |
Pages | 63-84 |
Publication status | Published - 2023 |
Event | 2nd Workshop on Computational Methods in the Humanities - COMHUM 2022 - Universität Lausanne (UNIL), Lausanne, Switzerland Duration: 09.06.2022 → 10.06.2022 Conference number: 2 https://wp.unil.ch/llist/en/event/comhum2022/ |
Bibliographical note
Funding Information:
The author would like to thank the three anonymous reviewers for their constructive feedback. I extend my gratitude to Marilena Daquino for valuable input and to Max Koss, Lynn Rother, and Liza Weber for their efforts in editing the article.
Publisher Copyright:
© 2023 CEUR-WS. All rights reserved.
- CIDOC CRM, Linked Art, Linked Open Data, Nanopublication, Provenance
- Science of art