The Mapping Manuscript Migrations (MMM) project transformed three separate datasets relating to the history and provenance of medieval and Renaissance manuscripts into a unified knowledge graph. The source databases are: Schoenberg Database of Manuscripts, from the Schoenberg Institute for Manuscript Studies, University of Pennsylvania; Bibale, from the Institut de recherche et d’histoire des textes (IRHT-CNRS, Paris); and Medieval Manuscripts in Oxford Libraries, from the Bodleian Libraries, University of Oxford. The data consist of more than 20 million RDF triples which have been mapped to the MMM Data Model. The model combines classes and properties from CIDOC-CRM and FRBR, together with some specific MMM elements. The Knowledge Graph wa...
This paper presents the Mapping Manuscript Migrations (MMM) system in use for modeling, aggregating,...
Mapping Manuscript Migrations is a new two-year project funded by the Trans-Atlantic Platform in the...
This dataset contains the SPARQL queries presented and discussed in our article published in Digital...
The Mapping Manuscript Migrations (MMM) project transformed three separate datasets into a unified k...
The Mapping Manuscript Migrations (MMM) project transformed three separate datasets relating to the ...
The Mapping Manuscript Migrations (MMM) project was funded from 2017 to 2020 by the Digging into Dat...
# Mapping Manuscript Migrations Knowledge Graph The Mapping Manuscript Migrations (MMM) project tra...
The Mapping Manuscript Migrations (MMM) project transformed three separate datasets into a unified k...
# Mapping Manuscript Migrations Knowledge Graph Version 1.1.0. The Mapping Manuscript Migrations (...
The Mapping Manuscript Migrations (MMM) project transformed three separate datasets into a unified k...
The Mapping Manuscript Migrations (MMM) project transformed three separate datasets into a unified k...
The Mapping Manuscript Migrations (MMM) project transformed three separate datasets into a unified k...
Since it was awarded a Round 4 Trans-Atlantic Platform Digging into Data Challenge grant in 2017, th...
Manuscripts are a crucial form of evidence for research into all aspects of premodern European histo...
This paper presents the Mapping Manuscript Migrations (MMM) system in use for modeling, aggregating,...
This paper presents the Mapping Manuscript Migrations (MMM) system in use for modeling, aggregating,...
Mapping Manuscript Migrations is a new two-year project funded by the Trans-Atlantic Platform in the...
This dataset contains the SPARQL queries presented and discussed in our article published in Digital...
The Mapping Manuscript Migrations (MMM) project transformed three separate datasets into a unified k...
The Mapping Manuscript Migrations (MMM) project transformed three separate datasets relating to the ...
The Mapping Manuscript Migrations (MMM) project was funded from 2017 to 2020 by the Digging into Dat...
# Mapping Manuscript Migrations Knowledge Graph The Mapping Manuscript Migrations (MMM) project tra...
The Mapping Manuscript Migrations (MMM) project transformed three separate datasets into a unified k...
# Mapping Manuscript Migrations Knowledge Graph Version 1.1.0. The Mapping Manuscript Migrations (...
The Mapping Manuscript Migrations (MMM) project transformed three separate datasets into a unified k...
The Mapping Manuscript Migrations (MMM) project transformed three separate datasets into a unified k...
The Mapping Manuscript Migrations (MMM) project transformed three separate datasets into a unified k...
Since it was awarded a Round 4 Trans-Atlantic Platform Digging into Data Challenge grant in 2017, th...
Manuscripts are a crucial form of evidence for research into all aspects of premodern European histo...
This paper presents the Mapping Manuscript Migrations (MMM) system in use for modeling, aggregating,...
This paper presents the Mapping Manuscript Migrations (MMM) system in use for modeling, aggregating,...
Mapping Manuscript Migrations is a new two-year project funded by the Trans-Atlantic Platform in the...
This dataset contains the SPARQL queries presented and discussed in our article published in Digital...