Harmonizing and publishing heterogeneous premodern manuscript metadata as Linked Open Data

Mikko Koho ORCID logo; Toby Burrows ORCID logo; Eero Hyvönen ORCID logo; Esko Ikkala ORCID logo; Kevin Page ORCID logo; Lynn Ransom ORCID logo; Jouni Tuominen ORCID logo; Doug Emery ORCID logo; Mitch Fraas ORCID logo; BenjaminHeller; +6 more... David Lewis ORCID logo; Andrew Morrison ORCID logo; Guillaume Porte ORCID logo; Emma Thomson ORCID logo; Athanasios Velios ORCID logo; Hanno Wijsman ORCID logo; (2021) Harmonizing and publishing heterogeneous premodern manuscript metadata as Linked Open Data. JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 73 (2). pp. 240-257. ISSN 2330-1635 DOI: 10.1002/asi.24499
Copy

Manuscripts are a crucial form of evidence for research into all aspects of premodern European history and culture, and there are numerous databases devoted to describing them in detail. This descriptive information, however, is typically available only in separate data silos based on incompatible data models and user interfaces. As a result, it has been difficult to study manuscripts comprehensively across these various platforms. To address this challenge, a team of manuscript scholars and computer scientists worked to create “Mapping Manuscript Migrations” (MMM), a semantic portal, and a Linked Open Data service. MMM stands as a successful proof of concept for integrating distinct manuscript datasets into a shared platform for research and discovery with the potential for future expansion. This paper will discuss the major products of the MMM project: a unified data model, a repeatable data transformation pipeline, a Linked Open Data knowledge graph, and a Semantic Web portal. It will also examine the crucial importance of an iterative process of multidisciplinary collaboration embedded throughout the project, enabling humanities researchers to shape the development of a digital platform and tools, while also enabling the same researchers to ask more sophisticated and comprehensive research questions of the aggregated data.



picture_as_pdf
Koho_etal_2021_Harmonizing-and-publishing-heterogeneous-premodern.pdf
subject
Published Version
Available under Creative Commons: 4.0

View Download

Explore Further

Read more research from the creator(s):

Find work associated with the faculties and division(s):

Find work from this publication: