Title :
HDQ: A meta-model for the quality improvement of heterogeneous data
Author :
Barone, Daniele ; Cabitza, Federico ; Grega, Simone
Author_Institution :
Dipt. di Inf. Sistemistica e Comunicazione, Univ. di Milano-Bicocca, Milan
Abstract :
In this paper, we outline the HDQ meta-model and exemplify its application to a realistic organizational scenario within a methodology for assessing and improving corporate data quality. The main aim of the HDQ meta-model is to support the modeling of the information resources used within an organization towards the application of comprehensive but yet lean methodologies of data quality improvement. The approach allowed by HDQ meta-model is aimed at addressing the scalable and incremental management of the quality of data represented in either structured, semi- structure or unstructured information sources.
Keywords :
business data processing; meta data; corporate data quality; data quality improvement; heterogeneous data; information resources; realistic organizational scenario; Business; Communications technology; Control systems; Customer satisfaction; Information resources; Information systems; Large-scale systems; Management information systems; Quality management; Technology management;
Conference_Titel :
Digital Information Management, 2007. ICDIM '07. 2nd International Conference on
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-1475-8
Electronic_ISBN :
978-1-4244-1476-5
DOI :
10.1109/ICDIM.2007.4444259
