In this chapter, we first introduce the concepts of Linked Data quality and its dimensions and metrics. Then we provide definitions for 18 quality dimensions along with a total of 69 metrics to measure the dimensions. Thereafter, we provide an overview of tools currently available for Linked Data quality assessment followed by an introduction to the W3C Data Quality Vocabulary. Finally, we discuss some of the open research challenges along with few solutions already available.
Zaveri, A., Rula, A. (2019). Data Quality and Data Cleansing of Semantic Data. In Encyclopedia of Big Data Technologies. Springer [10.1007/978-3-319-63962-8_289-1].
Data Quality and Data Cleansing of Semantic Data
Rula, A
2019
Abstract
In this chapter, we first introduce the concepts of Linked Data quality and its dimensions and metrics. Then we provide definitions for 18 quality dimensions along with a total of 69 metrics to measure the dimensions. Thereafter, we provide an overview of tools currently available for Linked Data quality assessment followed by an introduction to the W3C Data Quality Vocabulary. Finally, we discuss some of the open research challenges along with few solutions already available.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.