Mining the Cloud of Witness: Inferring the Prestige of Saints from Medieval Paintings

Mining the Cloud of Witness: Inferring the Prestige of Saints from Medieval Paintings

Thomas Lombardi

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1 Washington & Jefferson College

GJHSS Volume 14 Issue A11

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This paper explores the possibility of applying the concept of distant reading to visual culture. Using a corpus of medieval images of St. Francis, the study incorporates data mining and network analysis to infer the prestige of saints. In turn, these measurements provide the basis for testing and exploring themes related to the artwork. Despite some methodological issues, the approach produces results consistent with our historical understanding of this artwork and its context.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Thomas Lombardi. 2015. \u201cMining the Cloud of Witness: Inferring the Prestige of Saints from Medieval Paintings\u201d. Global Journal of Human-Social Science - A: Arts & Humanities GJHSS-A Volume 14 (GJHSS Volume 14 Issue A11): .

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GJHSS Volume 14 Issue A11
Pg. 15- 23

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Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Keywords

Data mining iconography medieval painting networks

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Submission ReceivedDecember 15, 2013
RevisedDecember 15, 2013
Peer Review Double Blind
Handling Editor
Accepted January 3, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

January 15, 2015

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

Article Matrices

Total Score: 131

Country: United States

Subject: Global Journal of Human-Social Science - A: Arts & Humanities

Authors: Thomas Lombardi (PhD/Dr. count: 0)

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Publish Date: 2015 01, Thu

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Total Views: 4366

Total Downloads: 2179

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