Quality Assessment of Library Linked Data: a Case Study
Fecha
2021-07-04
Autores
Hidalgo Delgado, Yusniel
Febles, Juan Pedro
López Rodríguez, Yoan Antonio
Leiva Mederos, Amed Abel
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Resumen
The linked data principles provide an efficient way to interlink resources across several datasets, improving interoperability and discoverability. Several digital libraries around the world are publishing their legacy data from catalogs and authority files following the linked data principles. However, selecting the most suitable datasets for creating links between them is becoming a complex task due to most of them not having the proper data quality. In this paper, we evaluate the quality of data of the LinkedDL dataset. The results are compared to four other datasets in the state-of-the-art. The evaluation showed promising results in the accuracy, consistency, and accessibility metrics.
Descripción
Palabras clave
Linked Data, Digital Libraries, Interoperability, Data Quality
Citación
Citar según la fuente original: Hidalgo-Delgado Y., López Y.A., Rodríguez J.P.F., Mederos A.L. (2021) Quality Assessment of Library Linked Data: a Case Study. In: Villazón-Terrazas B., Ortiz-Rodríguez F., Tiwari S., Goyal A., Jabbar M. (eds) Knowledge Graphs and Semantic Web. KGSWC 2021. Communications in Computer and Information Science, vol 1459. Springer, Cham. https://doi.org/10.1007/978-3-030-91305-2_8