Quality Assessment of Library Linked Data: a Case Study

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.