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Presentation . 2023
License: CC BY
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ZENODO
Presentation . 2023
License: CC BY
Data sources: Datacite
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Multilinguality and the use of vocabularies at Europeana

Authors: Isaac, Antoine;

Multilinguality and the use of vocabularies at Europeana

Abstract

Europeana gathers millions of metadata records from over 3500 libraries, archives and museums across Europe. Such a diversity with many quality issues (sparseness, heterogeneity, multilinguality). We present how Europeana and its partners work to address these issues, in a collaborative and flexible fashion. The Europeana Data Model paves the way for gathering richer metadata, but all parties need to exploit this potential. Especially, populating the data model's elements with multilingual linked open data vocabularies can bring a lot of value. We encourage our partners to publish richer metadata that exploits the controlled vocabularies they often already use. We also perform automatic metadata enrichment, using a purpose-built linked-data based "entity collection" as target. Finally, partners have also embarked on producing their own automatic metadata enrichments. In parallel, the Europeana network has developed a tier system for the Europeana Publishing Framework, which enables measuring and reporting on important aspects of metadata quality in the Europeana datasets.

Keywords

Controlled vocabularies, Information architecture, Semantic web

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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