Description: Data Quality Management with Semantic Technologies Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Christian Furber Format: Paperback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer Gabler ISBN-13: 9783658122249, 978-3658122249 Synopsis Christian Furber 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.
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Book Title: Data Quality Management with Semantic Technologies
Number of Pages: 205 Pages
Language: English
Publication Name: Data Quality Management with Semantic Technologies
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Publication Year: 2016
Subject: Management, Business
Item Height: 210 mm
Item Weight: 3102 g
Type: Textbook
Author: Christian Furber
Item Width: 148 mm
Format: Paperback
