Teaching Provenance to AI: An Annotation Scheme for Museum Data
Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
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Teaching Provenance to AI : An Annotation Scheme for Museum Data. / Mariani, Fabio; Rother, Lynn; Koss, Max.
AI in Museums: Reflections, Perspectives and Applications. ed. / Sonja Thiel; Johannes Bernhardt. Bielefeld : transcript Verlag, 2023. p. 163-172.Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
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TY - CHAP
T1 - Teaching Provenance to AI
T2 - An Annotation Scheme for Museum Data
AU - Mariani, Fabio
AU - Rother, Lynn
AU - Koss, Max
N1 - Publisher Copyright: © Sonja Thiel, Johannes C. Bernhardt (eds.). All rights reserved.
PY - 2023/12/27
Y1 - 2023/12/27
N2 - Our paper addresses how artificial intelligence technologies can transform museum records of provenance into structured and machine-readable data, which is the first critical step in undertaking a large-scale cross-institutional analysis of object history. Drawing on research on natural language processing (NLP), we have identified sentence boundary disambiguation and span categorization as highly effective techniques for extracting and structuring information from provenance texts. Our paper focuses on a provenance-specific annotation scheme that enables us to retain historical nuances when constructing provenance linked open data (PLOD)
AB - Our paper addresses how artificial intelligence technologies can transform museum records of provenance into structured and machine-readable data, which is the first critical step in undertaking a large-scale cross-institutional analysis of object history. Drawing on research on natural language processing (NLP), we have identified sentence boundary disambiguation and span categorization as highly effective techniques for extracting and structuring information from provenance texts. Our paper focuses on a provenance-specific annotation scheme that enables us to retain historical nuances when constructing provenance linked open data (PLOD)
KW - Science of art
UR - http://www.scopus.com/inward/record.url?scp=85182319765&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/951b9b07-7662-310f-8003-a06e7be1da2b/
U2 - 10.14361/9783839467107-014
DO - 10.14361/9783839467107-014
M3 - Contributions to collected editions/anthologies
SN - 978-3-8376-6710-3
SP - 163
EP - 172
BT - AI in Museums
A2 - Thiel, Sonja
A2 - Bernhardt, Johannes
PB - transcript Verlag
CY - Bielefeld
ER -