Christian Fürber investigates the useful application of semantic technologies for the area of
data quality management. Based on a literature analysis of typical data quality problems and
typical activities of data quality management processes he develops the Semantic Data Quality
Management framework as the major contribution of this thesis. The SDQM framework consists of
three components that are evaluated in two different use cases. Moreover this thesis compares
the framework to conventional data quality software. Besides the framework this thesis
delivers important theoretical findings namely a comprehensive typology of data quality
problems ten generic data requirement types a requirement-centric data quality management
process and an analysis of related work.
