Leveraging AI for Enhanced Archaeological Data Extraction: Workflows for Textual and Image-Based Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985912%3A_____%2F25%3A00635789" target="_blank" >RIV/67985912:_____/25:00635789 - isvavai.cz</a>
Alternative codes found
RIV/68081758:_____/25:00635789
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Leveraging AI for Enhanced Archaeological Data Extraction: Workflows for Textual and Image-Based Data
Original language description
The digitization of archaeological archives, particularly grey literature and archival photographs, holds immense potential for knowledge discovery. However, manual processing of such data is labour-intensive and often lacks consistency, making it a prime candidate for automation. This paper presents pilot implementation of re-usable digital research workflows that integrate text and image recognition technologies and AI models to streamline the analysis of archaeological documentation. These workflows are being developed for the purposes of enhancing (meta)data quality in the Archaeological Map of the Czech Republic (AMCR) digital repository and the ARIADNE Knowledge Base and discovery service. The talk summarises the journey leading towards the implementation of both of the workflows, discusses what so far worked and what did not, including the dead ends we encountered and what we learned along the way. The current state of workflows’ implementation will be demonstrated on pilot results based on the archival textual and image documents, showcasing how AI technologies can enhance archaeological archives processing and foster further research.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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