| Data Quality Management with Semantic Technologies 2016 Edition Contributor(s): Fürber, Christian (Author) |
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ISBN: 3658122242 ISBN-13: 9783658122249 Publisher: Springer Gabler OUR PRICE: $85.49 Product Type: Paperback Published: January 2016 |
| Additional Information |
| BISAC Categories: - Computers | Enterprise Applications - Business Intelligence Tools - Business & Economics | Information Management |
| Dewey: 658.403 |
| Physical Information: 0.54" H x 5.83" W x 8.27" (0.69 lbs) 205 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Christian F rber 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. |