Automated Monitoring of Data Quality in Linked Data Systems
Abstract
This paper describes the Dacura system’s ability to monitor data quality. This is evaluated in an experiment where a dataset of historical political
violence is collected, enriched, interlinked, and published. The results of the experiment demonstrate that automated quality measures enable the construction of publication pipelines which allow datasets to evolve rapidly without loss of quality.
| Origin | Files produced by the author(s) |
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