4 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
Implementation Guidelines for Data Quality Metrics
Philipp Jung, Katinka Becker, Felix Biessmann +4
Despite decades of data quality (DQ) research, a gap remains between DQ dimensions, such as accuracy or completeness, which the literature defines in textual form, and DQ tools, wh…
WiDiff: Extracting Changes from Wikidata's Edit History
Carolina Cortés, Lisa Ehrlinger, Lorena Etcheverry +1
Knowledge graphs have become a key resource for integrating heterogeneous data and powering downstream tasks such as question answering, entity linking, and semantic search. They a…
Data Quality Rule Generation with LLMs
Anna-Christina Glock, Thomas Hütter, Johannes Fürnkranz +3
The validation of data, such as customer and employee data, is an important task in many organizations. Errors in data can have severe consequences. For example, a wrong drug unit…
A Catalog of Data Errors
Divya Bhadauria, Hazar Harmouch, Felix Naumann +2
Data errors are widespread in real-world databases and severely impact downstream applications, such as machine learning pipelines or business analytics reports. Causes of such err…