Conference proceeding
Aggregation of Linked Data A case study in the cultural heritage domain
2018 IEEE International Conference on Big Data, Big Data 2018 - Proceedings, pp 522-527
22 Jan 2019
Abstract
A very large number of online cultural heritage (CH) resources is made available through numerous digital libraries. To address the difficulties of discoverability in CH, the common practice is metadata aggregation, where centralized efforts like Europeana facilitate discoverability by collecting the resources' metadata. In the last years, the CH domain has invested in data models for Linked Data (LD) representation of CH metadata. LD, however, also has potential for innovating metadata aggregation. We present the results of a pilot case study within the Europeana Network. In this pilot, the National Library of The Netherlands plays the role of initial data provider, with the Dutch Digital Heritage Network the one of intermediary service providing datasets to Europeana. We analysed the requirements for an LD aggregation solution and defined a workflow that fulfils the same functional requirements as Europeana's current solution. The workflow was put into practice within the pilot and led to the development of several software components for managing datasets, harvesting LD, data analysis and integration. Our analysis of the experience discusses the effort of adopting such an LD approach for data providers and aggregators, the expertise required by CH data analysts, and the supporting tools required for semantic data.
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Details
- Title
- Aggregation of Linked Data A case study in the cultural heritage domain
- Creators
- Nuno FreireEnno MeijersSjors De ValkRené VoorburgAntoine IsaacRoland CornelissenYang SongBing LiuKisung LeeNaoki AbeCalton PuMu QiaoNesreen AhmedDonald KossmannJeffrey SaltzJiliang TangJingrui HeHuan LiuXiaohua Hu
- Publication Details
- 2018 IEEE International Conference on Big Data, Big Data 2018 - Proceedings, pp 522-527
- Series
- IEEE International Conference on Big Data
- Publisher
- IEEE
- Number of pages
- 6
- Grant note
- Valentine Charles and Marjolein de Vos (Europeana Foundation) UID/CEC/50021/2013 / Portuguese national funds through Fundacao para a Ciencia e a Tecnologia (FCT); Fundacao para a Ciencia e a Tecnologia (FCT) 30-CE-0885387/00-80.e / European Commission; European Union (EU); European Commission Joint Research Centre
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000468499300067
- Scopus ID
- 2-s2.0-85062592997
- Other Identifier
- 991019189303904721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods