Aggregation of linked data in the cultural heritage domain
| Autor: | Enno Meijers, Roland Cornelissen, Sjors de Valk, René Voorburg, Antoine Isaac, Nuno Freire |
|---|---|
| Přispěvatelé: | Business Web and Media, Intelligent Information Systems |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
Data analysis 02 engineering and technology computer.software_genre Semantic data model RDF World Wide Web 0202 electrical engineering electronic engineering information engineering Datasets lcsh:T58.5-58.64 lcsh:Information technology 05 social sciences Big Data variety Linked data Digital library Discoverability SDG 11 - Sustainable Cities and Communities Data aggregation Semantics Cultural heritage Metadata Semantic technology 020201 artificial intelligence & image processing 0509 other social sciences 050904 information & library sciences computer Information Systems Data integration |
| Zdroj: | Information Volume 10 Issue 8 Freire, N, Voorburg, R, Cornelissen, R, de Valk, S, Meijers, E & Isaac, A 2019, ' Aggregation of linked data in the cultural heritage domain : A case study in the Europeana network ', Information (Switzerland), vol. 10, no. 8, 252, pp. 1-15 . https://doi.org/10.3390/info10080252 Information (Switzerland), 10(8):252, 1-15. MDPI Information, Vol 10, Iss 8, p 252 (2019) |
| ISSN: | 2078-2489 |
| DOI: | 10.3390/info10080252 |
| Popis: | Online cultural heritage resources are widely available through digital libraries maintained by numerous organizations. In order to improve discoverability in cultural heritage, the typical approach is metadata aggregation, a method where centralized efforts such as Europeana improve the discoverability by collecting resource metadata. The redefinition of the traditional data models for cultural heritage resources into data models based on semantic technology has been a major activity of the cultural heritage community. Yet, linked data may bring new innovation opportunities for cultural heritage metadata aggregation. We present the outcomes of a case study that we conducted within the Europeana cultural heritage network. In this study, the National Library of The Netherlands contributed by providing the role of data provider, while the Dutch Digital Heritage Network contributed as an intermediary aggregator that aggregates datasets and provides them to Europeana, the central aggregator. We identified and analyzed the requirements for an aggregation solution for the linked data, guided by current aggregation practices of the Europeana network. These requirements guided the definition of a workflow that fulfils the same functional requirements as the existing one. The workflow was put into practice within this study and has led to the development of software applications for administrating datasets, crawling the web of data, harvesting linked data, data analysis and data integration. We present our analysis of the study outcomes and analyze the effort necessary, in terms of technology adoption, to establish a linked data approach, from the point of view of both data providers and aggregators. We also present the expertise requirements we identified for cultural heritage data analysts, as well as determining which supporting tools were required to be designed specifically for semantic data. |
| Databáze: | OpenAIRE |
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