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A Metadata System for Quality Management
Frank Kramer, Bernhard Thalheim
224 - 242
10.3233/978-1-61499-472-5-224
Frontiers in Artificial Intelligence and Applications
Volume 272: Information Modelling and Knowledge Bases XXVI
Abstract

Data quality becomes an important issue for scientific databases. It is currently managed insufficiently. General solutions for managing the quality data on the object level are represented insufficiently nowadays. These applications need, however, a management system that supports quality treatment over the entire lifespan. We develop an approach to quality management that can be integrated into a metadata management system. This approach is based on a separation of concern through database components, extended views and Information Containers.

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