Full Paper

Linked Data Mapping Cultures: An Evaluation of Metadata Usage and Distribution in a Linked Data Environment

Konstantin Baierer ,Evelyn Dröge ,Vivien Petras ,Violeta Trkulja

DOI: 10.23106/dcmi.952136385

Abstract

In this paper we present an analysis of metadata mappings from different providers to a Linked Data format and model in the domain of digitized manuscripts. The DM2E model is based on Linked Open Data principles and was developed for the purpose of integrating metadata records to Europeana. The paper describes the differences between individual data providers and their respective metadata mapping cultures. Explanations on how the providers map the metadata from different institutions, different domains and different metadata formats are provided and supported by visualizations. The analysis of the mappings serves to evaluate the DM2E model and provides strategic insight for improving both mapping processes and the model itself.

Author information

Konstantin Baierer

Humboldt-Universität zu Berlin,DE

Evelyn Dröge

Humboldt-Universität zu Berlin,DE

Vivien Petras

Humboldt-Universität zu Berlin,DE

Violeta Trkulja

Humboldt-Universität zu Berlin,DE

Cite this article

Baierer, K., Dröge, E., Petras, V., & Trkulja, V. (2014). Linked Data Mapping Cultures: An Evaluation of Metadata Usage and Distribution in a Linked Data Environment. Proceedings of the International Conference on Dublin Core and Metadata Applications, 2014. https://doi.org/10.23106/dcmi.952136385
Published

Issue

DC-2014--The Austin Proceedings
Location:
Austin, Texas, USA
Dates:
October 8-11, 2014
CC-0 Logo Metadata and citations of this article is published under the Creative Commons Zero Universal Public Domain Dedication (CC0), allowing unrestricted reuse. Anyone can freely use the metadata from DCPapers articles for any purpose without limitations.
CC-BY Logo This article full-text is published under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows use, sharing, adaptation, distribution, and reproduction in any medium or format, provided that appropriate credit is given to the original author(s) and the source is cited.