| License: Creative Commons Attribution Non-commercial No Derivatives 4.0 (1MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-372906
- DOI to cite this document:
- 10.5283/epub.37290
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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