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HIQM: A Methodology for Information Quality Monitoring, Measurement, and Improvement

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Advances in Conceptual Modeling - Theory and Practice (ER 2006)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 4231))

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Abstract

Hybrid Information Quality Management (HIQM) methodology is conceived to be a support to solve run-time data quality problems. The analysis of the business processes and context in the design phase allows identifying critical points in the business tasks in which information quality might be improved. In these points, information quality blocks have to be inserted in order to continuously monitor the information flows. Through suitable checks, failures due to information quality problems can be detected. Furthermore, failures and warnings in service execution may depend on a wide variety of causes. Along the causes, the methodology also produces a list of the suitable recovery actions for a timely intervention and quality improvement. The methodology is explained by means of a running example.

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© 2006 Springer-Verlag Berlin Heidelberg

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Cappiello, C., Ficiaro, P., Pernici, B. (2006). HIQM: A Methodology for Information Quality Monitoring, Measurement, and Improvement. In: Roddick, J.F., et al. Advances in Conceptual Modeling - Theory and Practice. ER 2006. Lecture Notes in Computer Science, vol 4231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908883_41

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  • DOI: https://doi.org/10.1007/11908883_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47703-7

  • Online ISBN: 978-3-540-47704-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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