Fwd: Published in Academia AI and Applications: "Retrieval-augmented generation for natural language art provenance searches in the Getty Provenance Index"

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Rahmatollah Fattahi

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Jun 30, 2026, 3:13:17 PM (8 days ago) Jun 30
to گروه بحث مشهد, IranLIS Library and Information Science, isko-iran


Rahmatolloah Fattahi, PhD.,
Department of Library and Information Science,
Ferdowsi University of Mashhad, Iran,
www.um.ac.ir/~fattahi/

 

ما برای آنکه ایران        گوهری تابان شود         خون دلها خورده ایم

 

ما برای آنکه ایران         خانه خوبان شود          رنج دوران برده ایم
(شعر از نادر ابراهیمی، 1315-1387)
(ترانه: محمد نوری، 1308-1389)

---------- Forwarded message ---------
From: Academia AI and Applications <upd...@academia-mail.com>
Date: Tue, 30 June 2026, 17:18
Subject: Published in Academia AI and Applications: "Retrieval-augmented generation for natural language art provenance searches in the Getty Provenance Index"
To: <fattah...@gmail.com>


Academia.edu


Dear Rahmatollah Fattahi,

Based on the papers you've authored, we think you might be interested in this published article from Academia AI and Applications: Retrieval-augmented generation for natural language art provenance searches in the Getty Provenance Index
Retrieval-augmented generation for natural language art provenance searches in the Getty Provenance Index
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Mathew Henrickson, Eric Atwell, John Stell, Mark Westgarth, Dibyadyuti Roy, Noorhan Abbas
2026, Academia AI and Applications
18,169 Views 
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Abstract
This study presents a prototype Retrieval Augmented Generation (RAG) framework for art provenance research, focusing on the Getty Provenance Index German Sales dataset. The prototype addresses challenges posed by fragmented and multilingual archival data, as well as the limitations of traditional metadata-based... Read more
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