
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.
Data cleaning; Data curation; Data quality; Data validation; Linked data; Quality assessment
Data cleaning; Data curation; Data quality; Data validation; Linked data; Quality assessment
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
