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

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

doi:10.1007/978-3-030-71903-6_35

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 proceeding › Conference contribution › Academic › peer-review

Abstract

© 2021, Springer Nature Switzerland AG.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 language	English
Title of host publication	Metadata and Semantic Research - 14th International Conference, MTSR 2020, Revised Selected Papers
Editors	E. Garoufallou, M. Ovalle-Perandones
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	383-394
ISBN (Print)	9783030719029
DOIs	https://doi.org/10.1007/978-3-030-71903-6_35
Publication status	Published - 2021
Event	14th International Conference on Metadata and Semantics Research, MTSR 2020 - Madrid, Spain Duration: 2 Dec 2020 → 4 Dec 2020

Publication series

Name	Communications in Computer and Information Science
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	14th International Conference on Metadata and Semantics Research, MTSR 2020
Country/Territory	Spain
City	Madrid
Period	2/12/20 → 4/12/20

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.

Funders	Funder number
Europeana Foundation
NDE-program
European Commission	INEA/CEF/ICT/A2018/1633581, 30-CE-0885387/00-80
Fundação para a Ciência e a Tecnologia	UIDB/50021/2020
Ministerie van Onderwijs, Cultuur en Wetenschap

UN SDGs

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

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10.1007/978-3-030-71903-6_35

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Freire, N., Meijers, E., de Valk, S., Raemy, J. A., & Isaac, A. (2021). Metadata Aggregation via Linked Data: Results of the Europeana Common Culture Project. In E. Garoufallou, & M. Ovalle-Perandones (Eds.), Metadata and Semantic Research - 14th International Conference, MTSR 2020, Revised Selected Papers (pp. 383-394). (Communications in Computer and Information Science). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-71903-6_35

Freire, N. ; Meijers, E. ; de Valk, S. et al. / Metadata Aggregation via Linked Data : Results of the Europeana Common Culture Project. Metadata and Semantic Research - 14th International Conference, MTSR 2020, Revised Selected Papers. editor / E. Garoufallou ; M. Ovalle-Perandones. Springer Science and Business Media Deutschland GmbH, 2021. pp. 383-394 (Communications in Computer and Information Science).

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abstract = "{\textcopyright} 2021, Springer Nature Switzerland AG.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{\textquoteright} 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.",

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Freire, N, Meijers, E, de Valk, S, Raemy, JA & Isaac, A 2021, Metadata Aggregation via Linked Data: Results of the Europeana Common Culture Project. in E Garoufallou & M Ovalle-Perandones (eds), Metadata and Semantic Research - 14th International Conference, MTSR 2020, Revised Selected Papers. Communications in Computer and Information Science, Springer Science and Business Media Deutschland GmbH, pp. 383-394, 14th International Conference on Metadata and Semantics Research, MTSR 2020, Madrid, Spain, 2/12/20. https://doi.org/10.1007/978-3-030-71903-6_35

Metadata Aggregation via Linked Data: Results of the Europeana Common Culture Project. / Freire, N.; Meijers, E.; de Valk, S. et al.
Metadata and Semantic Research - 14th International Conference, MTSR 2020, Revised Selected Papers. ed. / E. Garoufallou; M. Ovalle-Perandones. Springer Science and Business Media Deutschland GmbH, 2021. p. 383-394 (Communications in Computer and Information Science).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AB - © 2021, Springer Nature Switzerland AG.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.

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Freire N, Meijers E, de Valk S, Raemy JA, Isaac A. Metadata Aggregation via Linked Data: Results of the Europeana Common Culture Project. In Garoufallou E, Ovalle-Perandones M, editors, Metadata and Semantic Research - 14th International Conference, MTSR 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2021. p. 383-394. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-71903-6_35

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

Abstract

Publication series

Conference

Funding

UN SDGs

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