SOURCE-LINKED INTELLIGENCE

Building an AI-tool to facilitate the integration, accessibility, and usability of heterogeneous cultural heritage data on medieval manuscripts.

CORDIS · observation · Publication date unknown

ritten books are a pivotal category of our heritage, yet they are currently underrepresented in large research infrastructures and their catalog data locked in digital silos. 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. The model will be made accessible through a human engagement interface and tested during a pilot in a real-world setting. The project will fill two important desiderata: (1) a user-friendly AI-tool to allow heritage professionals to convert their metadata on manuscripts to Linked Open Data, and (2) a dedicated ontology for the description of medieval manuscripts to complete CIDOC-CRM extensions for the cultural heritage domain. 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. ManuscriptAI will advance the EU’s

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recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR