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

Heinrich, Bernd, Klier, Mathias, Schiller, Alexander Paul Rudolf and Wagner, Gerit (2018) Assessing Data Quality - A Probability-based Metric for Semantic Consistency. Decision Support Systems (DSS) 10, pp. 95-106.

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Date of publication of this fulltext: 09 May 2018 08:25

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Other URL: https://www.sciencedirect.com/science/article/pii/S0167923618300599


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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Item type:Article
Date:June 2018
Institutions:Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich)
Identification Number:
ValueType
10.1016/j.dss.2018.03.011DOI
Keywords:Data quality, Data quality assessment, Data Quality metric, Data consistency
Dewey Decimal Classification:300 Social sciences > 330 Economics
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:37290
Owner only: item control page

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