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Using Provenance for Quality Assessment and Repair in Linked Open Data
2012
International Semantic Web Conference
As the number of data sources publishing their data on the Web of Data is growing, we are experiencing an immense growth of the Linked Open Data cloud. The lack of control on the published sources, which could be untrustworthy or unreliable, along with their dynamic nature that often invalidates links and causes conflicts or other discrepancies, could lead to poor quality data. In order to judge data quality, a number of quality indicators have been proposed, coupled with quality metrics that
dblp:conf/semweb/FlourisRPMF12
fatcat:hhoz3e55bffvle3to2mtsq2uge