Evaluating the quality of linked open data in digital libraries

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Title: Evaluating the quality of linked open data in digital libraries
Authors: Candela, Gustavo | Escobar Esteban, María Pilar | Carrasco, Rafael C. | Marco Such, Manuel
Research Group/s: Lucentia | Transducens
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Keywords: Data quality metrics | Digital libraries | Linked data quality | Linked open data
Knowledge Area: Lenguajes y Sistemas Informáticos
Issue Date: 3-Aug-2020
Publisher: SAGE Publications
Citation: Journal of Information Science. 2022, 48(1): 21-43. https://doi.org/10.1177/0165551520930951
Abstract: Cultural heritage institutions have recently started to share their metadata as Linked Open Data (LOD) in order to disseminate and enrich them. The publication of large bibliographic data sets as LOD is a challenge that requires the design and implementation of custom methods for the transformation, management, querying and enrichment of the data. In this report, the methodology defined by previous research for the evaluation of the quality of LOD is analysed and adapted to the specific case of Resource Description Framework (RDF) triples containing standard bibliographic information. The specified quality measures are reported in the case of four highly relevant libraries.
Sponsor: This work has been partially supported by the ECLIPSE-UA RTI2018-094283-B-C32 (Spanish Ministry of Education and Science).
URI: http://hdl.handle.net/10045/109459
ISSN: 0165-5515 (Print) | 1741-6485 (Online)
DOI: 10.1177/0165551520930951
Language: eng
Type: info:eu-repo/semantics/article
Rights: © The Author(s) 2020
Peer Review: si
Publisher version: https://doi.org/10.1177/0165551520930951
Appears in Collections:INV - LUCENTIA - Artículos de Revistas
INV - TRANSDUCENS - Artículos de Revistas

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