SubsidieMeestersBuilding an AI-tool to facilitate the integration, accessibility, and usability of heterogeneous cultural heritage data on medieval manuscripts.
ManuscriptAI aims to integrate and enhance access to medieval manuscript data using machine learning, promoting digital preservation and inclusivity in Europe's cultural heritage narrative.
Projectdetails
Introduction
Data on our cultural heritage hold enormous potential for Europe’s economic growth, for the construction of a more inclusive narrative of its past, and for the future collective identity of its citizens. The biggest obstacle to unlocking that potential is the current lack of integration and interoperability among the countless datasets describing the holdings of European heritage institutions.
Project Overview
ManuscriptAI will help remove that obstacle for the data on Europe’s medieval written heritage, specifically manuscripts. Premodern handwritten books are a pivotal category of our heritage, yet they are currently underrepresented in large research infrastructures and their catalog data is locked in digital silos.
Methodology
ManuscriptAI will employ machine learning algorithms to construct a model capable of facilitating the automatic integration of distinct data sources describing medieval manuscripts, under a predefined set of machine-understandable vocabulary terms.
Accessibility and Testing
The model will be made accessible through a human engagement interface and tested during a pilot in a real-world setting.
Objectives
The project will fill two important desiderata:
- A user-friendly AI tool to allow heritage professionals to convert their metadata on manuscripts to Linked Open Data.
- A dedicated ontology for the description of medieval manuscripts to complete CIDOC-CRM extensions for the cultural heritage domain.
Consortium and Support
The project, building on the achievements of the ERC-2018-stg PASSIM, is supported by a strong consortium of domain experts, heritage professionals and institutes, and (inter)national research infrastructures.
Impact
ManuscriptAI will advance the EU’s agenda for digital heritage. The tool will help democratise datafication, making Linked Open Data accessible to small heritage institutions and actively involving them in its development.
Conclusion
This integration tool for data on medieval manuscripts will be a huge step forward for the digital preservation and usability of Europe’s unique handwritten heritage.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 150.000 |
| Totale projectbegroting | € 150.000 |
Tijdlijn
| Startdatum | 1-4-2024 |
| Einddatum | 30-9-2025 |
| Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- STICHTING RADBOUD UNIVERSITEITpenvoerder
- NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNO
Land(en)
Vergelijkbare projecten binnen European Research Council
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
The Lost Manuscripts of Medieval Europe: Modelling the Transmission of TextsLostMa investigates the evolution of human cultures through the transmission of written artefacts, using AI and complexity science to analyze and simulate textual survival and loss. | ERC Starting... | € 1.499.235 | 2024 | Details |
Tool for the Analysis of Information Transfer in Manuscript CulturesThe TInTraMac project develops a free, flexible research tool to encourage scholars to adopt digital methods for analyzing manuscript texts, enhancing accessibility and collaboration in textual studies. | ERC Proof of... | € 150.000 | 2023 | Details |
n-Dimensional analysis and memorisation ecosystem for building cathedrals of knowledge in Heritage ScienceThis project leverages multidisciplinary digital data to innovate knowledge production in cultural heritage, using Notre-Dame de Paris as a case study to develop a replicable methodology and open ecosystem. | ERC Advanced... | € 2.468.909 | 2022 | Details |
Manuscript Culture in the Age of PrintThe PRIMA project aims to redefine Early Modern Europe's manuscript culture by uncovering its significance in literature and science, challenging the dominance of print through innovative research methods. | ERC Advanced... | € 2.499.369 | 2024 | Details |
Migrations of Textual and Scribal Traditions via Large-Scale Computational Analysis of Medieval Manuscripts in Hebrew ScriptMIDRASH aims to develop an interdisciplinary methodology using advanced technologies to study and reconstruct medieval Hebrew manuscripts, enhancing understanding of Jewish literary culture and its historical significance. | ERC Synergy ... | € 10.296.259 | 2023 | Details |
The Lost Manuscripts of Medieval Europe: Modelling the Transmission of Texts
LostMa investigates the evolution of human cultures through the transmission of written artefacts, using AI and complexity science to analyze and simulate textual survival and loss.
Tool for the Analysis of Information Transfer in Manuscript Cultures
The TInTraMac project develops a free, flexible research tool to encourage scholars to adopt digital methods for analyzing manuscript texts, enhancing accessibility and collaboration in textual studies.
n-Dimensional analysis and memorisation ecosystem for building cathedrals of knowledge in Heritage Science
This project leverages multidisciplinary digital data to innovate knowledge production in cultural heritage, using Notre-Dame de Paris as a case study to develop a replicable methodology and open ecosystem.
Manuscript Culture in the Age of Print
The PRIMA project aims to redefine Early Modern Europe's manuscript culture by uncovering its significance in literature and science, challenging the dominance of print through innovative research methods.
Migrations of Textual and Scribal Traditions via Large-Scale Computational Analysis of Medieval Manuscripts in Hebrew Script
MIDRASH aims to develop an interdisciplinary methodology using advanced technologies to study and reconstruct medieval Hebrew manuscripts, enhancing understanding of Jewish literary culture and its historical significance.
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