Evaluation of the Semantic Data Quality Management Framework (SDQM)

Abstract

In this chapter, we evaluate the proposed SDQM approach. The evaluation methodology of SDQM is separated into three parts. The first part is concerned with the evaluation of precision and recall of SDQM’s data quality monitoring and assessment algorithms. The second part evaluates the practical applicability of SDQM by applying the framework to three different use cases, namely one business use case on material master data of a large organization, one Semantic Web use case with data from DBpedia, and one use case that examines the capability of SDQM to automatically identify inconsistent data requirements. In the third part of the evaluation, SDQM is compared to a conventional data quality tool.