Hidalgo Delgado, YusnielFebles, Juan PedroLópez Rodríguez, Yoan AntonioLeiva Mederos, Amed Abel2022-01-282022-01-282021-07-04Citar 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_8978-3-030-91305-2https://dspace.uclv.edu.cu/handle/123456789/13261The 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.esEste documento es Propiedad Patrimonial de Springer, Cham y se socializa en este Repositorio gracias a la política de acceso abierto del Congreso Third Iberoamerican Conference and Second Indo-American Conference, KGSWC 2021, Kingsville, Texas, USA, November 22–24, 2021, Proceedings.Linked DataDigital LibrariesInteroperabilityData QualityModelo de Datos EnlazadosBibliotecas DigitalesInteroperabilidadCalidad de DatosCaso de EstudioProceedingsSpringer, Chamhttps://doi.org/10.1007/978-3-030-91305-2_8