Paper Info
Title
Aggregation of Linked Data : A case study in the cultural heritage domain
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.
Year
DOI
Venue
2018
10.1109/BigData.2018.8622348
2018 IEEE International Conference on Big Data (Big Data)
Keywords
Field
DocType
data aggregation,data analysis,datasets,semantics,Big Data variety,RDF
Data modeling,Metadata,Data mining,World Wide Web,Discoverability,Computer science,Linked data,Digital library,Workflow,RDF,Semantic data model
Conference
ISSN
ISBN
Citations 
2639-1589
978-1-5386-5036-3
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Nuno Freire19722.27
Enno Meijers200.68
Sjors de Valk300.68
René Voorburg400.68
Antoine Isaac519423.46
Roland Cornelissen61035.04