Standard
Introducing VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Art Provenance Data. /
Mariani, Fabio.
Computational Methods in the Humanities 2022 : Proceedings of the Workshop on Computational Methods in the Humanities 2022 Lausanne, Switzerland, June 9–10, 2022.. ed. / Yannick Rochat; Coline Metrailler; Michael Piotrowski. Vol. 3602 Aachen: Sun Site Central Europe (RWTH Aachen University), 2023. p. 63-84 (CEUR Workshop Proceedings; Vol. 3602).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
Mariani, F 2023,
Introducing VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Art Provenance Data. in Y Rochat, C Metrailler & M Piotrowski (eds),
Computational Methods in the Humanities 2022 : Proceedings of the Workshop on Computational Methods in the Humanities 2022 Lausanne, Switzerland, June 9–10, 2022.. vol. 3602, CEUR Workshop Proceedings, vol. 3602, Sun Site Central Europe (RWTH Aachen University), Aachen, pp. 63-84, 2nd Workshop on Computational Methods in the Humanities - COMHUM 2022, Lausanne, Switzerland,
09.06.22. <
https://nbn-resolving.org/urn:nbn:de:0074-3602-3>
APA
Mariani, F. (2023).
Introducing VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Art Provenance Data. In Y. Rochat, C. Metrailler, & M. Piotrowski (Eds.),
Computational Methods in the Humanities 2022 : Proceedings of the Workshop on Computational Methods in the Humanities 2022 Lausanne, Switzerland, June 9–10, 2022. (Vol. 3602, pp. 63-84). (CEUR Workshop Proceedings; Vol. 3602). Sun Site Central Europe (RWTH Aachen University).
https://nbn-resolving.org/urn:nbn:de:0074-3602-3
Vancouver
Mariani F.
Introducing VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Art Provenance Data. In Rochat Y, Metrailler C, Piotrowski M, editors, Computational Methods in the Humanities 2022 : Proceedings of the Workshop on Computational Methods in the Humanities 2022 Lausanne, Switzerland, June 9–10, 2022.. Vol. 3602. Aachen: Sun Site Central Europe (RWTH Aachen University). 2023. p. 63-84. (CEUR Workshop Proceedings).
Bibtex
@inbook{3370ecc36940467c83886d9dbc2f93ef,
title = "Introducing VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Art Provenance Data",
abstract = "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{\textquoteright}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.",
keywords = "CIDOC CRM, Linked Art, Linked Open Data, Nanopublication, Provenance, Science of art",
author = "Fabio Mariani",
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: {\textcopyright} 2023 CEUR-WS. All rights reserved.; 2nd Workshop on Computational Methods in the Humanities - COMHUM 2022, COMHUM 2022 ; Conference date: 09-06-2022 Through 10-06-2022",
year = "2023",
language = "English",
volume = "3602",
series = "CEUR Workshop Proceedings",
publisher = "Sun Site Central Europe (RWTH Aachen University)",
pages = "63--84",
editor = "Yannick Rochat and Coline Metrailler and Michael Piotrowski",
booktitle = "Computational Methods in the Humanities 2022",
address = "Germany",
url = "https://wp.unil.ch/llist/en/event/comhum2022/",
}
RIS
TY - CHAP
T1 - Introducing VISU
T2 - 2nd Workshop on Computational Methods in the Humanities - COMHUM 2022
AU - Mariani, Fabio
N1 - Conference code: 2
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - CIDOC CRM
KW - Linked Art
KW - Linked Open Data
KW - Nanopublication
KW - Provenance
KW - Science of art
UR - http://www.scopus.com/inward/record.url?scp=85182023407&partnerID=8YFLogxK
M3 - Article in conference proceedings
AN - SCOPUS:85182023407
VL - 3602
T3 - CEUR Workshop Proceedings
SP - 63
EP - 84
BT - Computational Methods in the Humanities 2022
A2 - Rochat, Yannick
A2 - Metrailler, Coline
A2 - Piotrowski, Michael
PB - Sun Site Central Europe (RWTH Aachen University)
CY - Aachen
Y2 - 9 June 2022 through 10 June 2022
ER -
