Aggregation of Linked Data: A case study in the cultural heritage domain

Nuno Freire; Enno Meijers; Sjors De Valk; René Voorburg; Antoine Isaac; Roland Cornelissen

doi:10.1109/BigData.2018.8622348

Aggregation of Linked Data: A case study in the cultural heritage domain

Nuno Freire, Enno Meijers, Sjors De Valk, René Voorburg, Antoine Isaac, Roland Cornelissen

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	2018 IEEE International Conference on Big Data, Big Data 2018 - Proceedings
Editors	Yang Song, Bing Liu, Kisung Lee, Naoki Abe, Calton Pu, Mu Qiao, Nesreen Ahmed, Donald Kossmann, Jeffrey Saltz, Jiliang Tang, Jingrui He, Huan Liu, Xiaohua Hu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	522-527
Number of pages	6
ISBN (Electronic)	9781538650356
DOIs	https://doi.org/10.1109/BigData.2018.8622348
Publication status	Published - 22 Jan 2019
Event	2018 IEEE International Conference on Big Data, Big Data 2018 - Seattle, United States Duration: 10 Dec 2018 → 13 Dec 2018

Conference

Conference	2018 IEEE International Conference on Big Data, Big Data 2018
Country/Territory	United States
City	Seattle
Period	10/12/18 → 13/12/18

Funding

5. Align data model and vocabularies - The aggregator manually aligns the data model and vocabularies used in the LD of the data provider with the central data model (EDM). This task is supported by information gathered during the profiling of the dataset and by software to support the aggregator in the management of the alignment. ACKNOWLEDGMENT We would like to acknowledge the support from Valentine Charles and Marjolein de Vos (Europeana Foundation). This work was partly supported by Portuguese

Funders	Funder number
Europeana Foundation
Valentine Charles and Marjolein de Vos
European Commission	30-CE-0885387/00-80
Fundação para a Ciência e a Tecnologia	UID/CEC/50021/2013
Instituto Nacional de Ciência e Tecnologia para Excitotoxicidade e Neuroproteção

Keywords

Big Data variety
data aggregation
data analysis
datasets
RDF
semantics

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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 (pp. 522-527). Article 8622348 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.2018.8622348

Freire, Nuno ; Meijers, Enno ; De Valk, Sjors et al. / Aggregation of Linked Data : A case study in the cultural heritage domain. 2018 IEEE International Conference on Big Data, Big Data 2018 - Proceedings. editor / Yang Song ; Bing Liu ; Kisung Lee ; Naoki Abe ; Calton Pu ; Mu Qiao ; Nesreen Ahmed ; Donald Kossmann ; Jeffrey Saltz ; Jiliang Tang ; Jingrui He ; Huan Liu ; Xiaohua Hu. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 522-527

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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.",

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doi = "10.1109/BigData.2018.8622348",

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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

Aggregation of Linked Data: A case study in the cultural heritage domain. / Freire, Nuno; Meijers, Enno; De Valk, Sjors et al.
2018 IEEE International Conference on Big Data, Big Data 2018 - Proceedings. ed. / Yang Song; Bing Liu; Kisung Lee; Naoki Abe; Calton Pu; Mu Qiao; Nesreen Ahmed; Donald Kossmann; Jeffrey Saltz; Jiliang Tang; Jingrui He; Huan Liu; Xiaohua Hu. Institute of Electrical and Electronics Engineers Inc., 2019. p. 522-527 8622348.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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AU - Freire, Nuno

AU - Meijers, Enno

AU - De Valk, Sjors

AU - Voorburg, René

AU - Isaac, Antoine

AU - Cornelissen, Roland

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N2 - 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.

AB - 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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BT - 2018 IEEE International Conference on Big Data, Big Data 2018 - Proceedings

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A2 - Liu, Bing

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Freire N, Meijers E, De Valk S, Voorburg R, Isaac A, Cornelissen R. Aggregation of Linked Data: A case study in the cultural heritage domain. In Song Y, Liu B, Lee K, Abe N, Pu C, Qiao M, Ahmed N, Kossmann D, Saltz J, Tang J, He J, Liu H, Hu X, editors, 2018 IEEE International Conference on Big Data, Big Data 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 522-527. 8622348 doi: 10.1109/BigData.2018.8622348

Aggregation of Linked Data: A case study in the cultural heritage domain

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