Introducing VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Art Provenance Data

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

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.. Hrsg. / Yannick Rochat; Coline Metrailler; Michael Piotrowski. Band 3602 Aachen: Sun Site Central Europe (RWTH Aachen University), 2023. S. 63-84 (CEUR Workshop Proceedings; Band 3602).

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Mariani, F 2023, Introducing VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Art Provenance Data. in Y Rochat, C Metrailler & M Piotrowski (Hrsg.), Computational Methods in the Humanities 2022 : Proceedings of the Workshop on Computational Methods in the Humanities 2022 Lausanne, Switzerland, June 9–10, 2022.. Bd. 3602, CEUR Workshop Proceedings, Bd. 3602, Sun Site Central Europe (RWTH Aachen University), Aachen, S. 63-84, 2nd Workshop on Computational Methods in the Humanities 2022, Lausanne, Schweiz, 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 (Hrsg.), Computational Methods in the Humanities 2022 : Proceedings of the Workshop on Computational Methods in the Humanities 2022 Lausanne, Switzerland, June 9–10, 2022. (Band 3602, S. 63-84). (CEUR Workshop Proceedings; Band 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, Hrsg., Computational Methods in the Humanities 2022 : Proceedings of the Workshop on Computational Methods in the Humanities 2022 Lausanne, Switzerland, June 9–10, 2022.. Band 3602. Aachen: Sun Site Central Europe (RWTH Aachen University). 2023. S. 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 -

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