Aggregation of Linked Data : A case study in the cultural heritage domain
| Autor: | Freire, Nuno, Meijers, Enno, De Valk, Sjors, Voorburg, René, Isaac, Antoine, Cornelissen, Roland, Song, Yang, Liu, Bing, Lee, Kisung, Abe, Naoki, Pu, Calton, Qiao, Mu, Ahmed, Nesreen, Kossmann, Donald, Saltz, Jeffrey, Tang, Jiliang, He, Jingrui, Liu, Huan, Hu, Xiaohua |
|---|---|
| Přispěvatelé: | Business Web and Media, Intelligent Information Systems, Song, Yang, Liu, Bing, Lee, Kisung, Abe, Naoki, Pu, Calton, Qiao, Mu, Ahmed, Nesreen, Kossmann, Donald, Saltz, Jeffrey, Tang, Jiliang, He, Jingrui, Liu, Huan, Hu, Xiaohua |
| Rok vydání: | 2018 |
| Předmět: |
data aggregation
Computer science datasets data analysis 05 social sciences Big Data variety Linked data computer.file_format Digital library Semantic data model Discoverability RDF Data modeling World Wide Web Metadata Workflow 0509 other social sciences 050904 information & library sciences semantics computer |
| Zdroj: | IEEE BigData 2018 IEEE International Conference on Big Data, Big Data 2018-Proceedings, 522-527 STARTPAGE=522;ENDPAGE=527;TITLE=2018 IEEE International Conference on Big Data, Big Data 2018-Proceedings Freire, N, Meijers, E, De Valk, S, Voorburg, R, Isaac, A & Cornelissen, R 2019, Aggregation of Linked Data : A case study in the cultural heritage domain . in Y Song, B Liu, K Lee, N Abe, C Pu, M Qiao, N Ahmed, D Kossmann, J Saltz, J Tang, J He, H Liu & X Hu (eds), 2018 IEEE International Conference on Big Data, Big Data 2018-Proceedings ., 8622348, Institute of Electrical and Electronics Engineers Inc., pp. 522-527, 2018 IEEE International Conference on Big Data, Big Data 2018, Seattle, United States, 10/12/18 . https://doi.org/10.1109/BigData.2018.8622348 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|