Go to content
UR Home

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

URN to cite this document:
DOI to cite this document:
Heinrich, Bernd ; Klier, Mathias ; Schiller, Alexander Paul Rudolf ; Wagner, Gerit
Date of publication of this fulltext: 09 May 2018 08:25


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 ...


Owner only: item control page
  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de
0941 943 -4239 or -69394

Dissertations: dissertationen@ur.de
0941 943 -3904

Research data: datahub@ur.de
0941 943 -5707

Contact persons