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Assessing Data Quality - A Probability-based Metric for Semantic Consistency

URN to cite this document:
urn:nbn:de:bvb:355-epub-372906
DOI to cite this document:
10.5283/epub.37290
Heinrich, Bernd ; Klier, Mathias ; Schiller, Alexander Paul Rudolf ; Wagner, Gerit
Date of publication of this fulltext: 09 May 2018 08:25


Abstract

We present a probability-based metric for semantic consistency using a set of uncertain rules. As opposed to existing metrics for semantic consistency, our metric allows to consider rules that are expected to be fulfilled with specific probabilities. The resulting metric values represent the probability that the assessed dataset is free of internal contradictions with regard to the uncertain ...

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