Wikibase Model for Premodern Manuscript Metadata Harmonization, Linked Data Integration, and Discovery

Author:

Koho Mikko1ORCID,Coladangelo L. P.2ORCID,Ransom Lynn3ORCID,Emery Doug3ORCID

Affiliation:

1. Semantic Computing Research Group, Aalto University, Finland

2. College of Communication and Information, Kent State University, USA

3. Schoenberg Institute for Manuscript Studies, University of Pennsylvania, USA

Abstract

To facilitate discovery of premodern manuscripts in U.S. memory institutions, Digital Scriptorium, a growing consortium of over 35 institutional members representing American libraries, museums, and other cultural heritage institutions, has developed a digital platform for an online national union catalog. The platform will allow low-barrier and efficient collection, aggregation, and enrichment of member metadata and sustainably publish it as Linked Open Data. This article describes the methods and principles behind the data model development and the decision to use Wikibase. The results of the prototype implementation and testing phase demonstrate the practicality and sustainability of Digital Scriptorium’s approach to building an online national union catalog based on Linked Open Data technologies and practices.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Information Systems,Conservation

Reference38 articles.

1. Generating and Exploiting Semantically Enriched, Integrated, Linked and Open Museum Data

2. DM2E: A Linked Data source of Digitised Manuscripts for the Digital Humanities

3. Developing a Premodern Manuscript Application Profile Using Dublin Core

4. Towards a knowledge base of medieval and renaissance geographical Latin works: The IMAGO ontology

5. Valentina Bartalesi, Nicolò Pratelli, and Emanuele Lenzi. 2022. A knowledge base of medieval and renaissance geographic latin works. In Proceedings of the 18th Italian Research Conference on Digital Libraries (CEUR Workshop Proceedings, Vol. 3160). 6 pages. Retrieved from https://ceur-ws.org/Vol-3160/short13.pdf.

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