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Metadata Aggregation via Linked Data: Results of the Europeana Common Culture Project

  • N. Freire
  • , E. Meijers
  • , S. de Valk
  • , J.A. Raemy
  • , A. Isaac

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Digital cultural heritage resources are widely available on the web through the digital libraries of heritage institutions. To address the difficulties of discoverability in cultural heritage, the common practice is metadata aggregation, where centralized efforts like Europeana facilitate discoverability by collecting the resources’ metadata. We present the results of the linked data aggregation task conducted within the Europeana Common Culture project, which attempted an innovative approach to aggregation based on linked data made available by cultural heritage institutions. This task ran for one year with participation of twelve organizations, involving the three member roles of the Europeana network: data providers, intermediary aggregators, and the central aggregation hub, Europeana. We report on the challenges that were faced by data providers, the standards and specifications applied, and the resulting aggregated metadata.
Original languageEnglish
Title of host publicationMetadata and Semantic Research
Subtitle of host publication14th International Conference, MTSR 2020, Madrid, Spain, December 2–4, 2020, Revised Selected Papers
EditorsEmmanouel Garoufallou, María-Antonia Ovalle-Perandones
PublisherSpringer Science and Business Media Deutschland GmbH
Pages383-394
Number of pages12
ISBN (Electronic)9783030719036
ISBN (Print)9783030719029
DOIs
Publication statusPublished - 2021
Event14th International Conference on Metadata and Semantics Research, MTSR 2020 - Madrid, Spain
Duration: 2 Dec 20204 Dec 2020

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume1355 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937
NameMTSR: Research Conference on Metadata and Semantics Research
PublisherSpringer
Volume2020

Conference

Conference14th International Conference on Metadata and Semantics Research, MTSR 2020
Country/TerritorySpain
CityMadrid
Period2/12/204/12/20

Bibliographical note

© 2021, Springer Nature Switzerland AG.

Funding

We would like to acknowledge the support given by the participants of the pilot: Helena Patrício, Tetiana Kysla, Minna Rönkä, Osma Suominen, Haris Georgiadis, Agathi Papanoti, and Palko Gabor, as well as Erwin Verbruggen for his coordination. We also would like to acknowledge Adina Ciocoiu from the Europeana Foundation for the analysis of data samples collected during the case study. This work was partially supported by Portuguese national funds through Fundação para a Ciência e a Tecnologia (FCT) with reference UIDB/50021/2020, the European Commission under contract 30-CE-0885387/00-80, and grant agreement INEA/CEF/ICT/A2018/1633581 and by the NDE-program funded by the Dutch Ministry of Education, Culture and Science. This work was partially supported by Portuguese national funds through Fundação para a Ciência e a Tecnologia(FCT) with referenceUIDB/50021/2020, the European Commission under contract 30-CE-0885387/00-80, and grant agreement INEA/CEF/ICT/A2018/1633581 and by the NDE-program funded by the Dutch Ministry of Education, Culture and Science.

FundersFunder number
Europeana Foundation
NDE-program
European CommissionINEA/CEF/ICT/A2018/1633581, 30-CE-0885387/00-80
Fundação para a Ciência e a TecnologiaUIDB/50021/2020
Ministerie van Onderwijs, Cultuur en Wetenschap

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

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