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Evaluation of Schema.org for Aggregation of Cultural Heritage Metadata

  • Nuno Freire
  • Valentine Charles
  • Antoine Isaac
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10843)

Abstract

In the World Wide Web, a very large number of resources is made available through digital libraries. The existence of many individual digital libraries, maintained by different organizations, brings challenges to the discoverability, sharing and reuse of the resources. A widely-used approach is metadata aggregation, where centralized efforts like Europeana facilitate the discoverability and use of the resources by collecting their associated metadata. The cultural heritage domain embraced the aggregation approach while, at the same time, the technological landscape kept evolving. Nowadays, cultural heritage institutions are increasingly applying technologies designed for the wider interoperability on the Web. In this context, we have identified the Schema.org vocabulary as a potential technology for innovating metadata aggregation. We conducted two case studies that analysed Schema.org metadata from collections from cultural heritage institutions. We used the requirements of the Europeana Network as evaluation criteria. These include the recommendations of the Europeana Data Model, which is a collaborative effort from all the domains represented in Europeana: libraries, museums, archives, and galleries. We concluded that Schema.org poses no obstacle that cannot be overcome to allow data providers to deliver metadata in full compliance with Europeana requirements and with the desired semantic quality. However, Schema.org’s cross-domain applicability raises the need for accompanying its adoption by recommendations and/or specifications regarding how data providers should create their Schema.org metadata, so that they can meet the specific requirements of Europeana or other cultural aggregation networks.

Keywords

Metadata Cultural heritage Metadata aggregation Schema.org Europeana Data Model Digital libraries 

Notes

Acknowledgements

We would like to acknowledge the support given by staff members of North Carolina State University Libraries, the University of Illinois at Urbana-Champaign and the Digital Public Library of America, for their support in access and analysis of the data sources for the case studies: Jason Ronallo, Timothy Cole, Jacob Jett, Gretchen Gueguen and Michael Della Bitta.

This work was partially supported by Portuguese national funds through Fundação para a Ciência e a Tecnologia (FCT) with reference UID/CEC/50021/2013, and by the European Commission under the Connecting Europe Facility, telecommunications sector, grant agreement number CEF-TC-2015-1-01, and under contract number 30-CE-0885387/00-80.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.INESC-IDLisbonPortugal
  2. 2.Europeana FoundationThe HagueThe Netherlands
  3. 3.Vrije Universiteit AmsterdamAmsterdamThe Netherlands

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