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An Inductive and Semantic Model of Constraints for Master Data Management under Cloud Computing

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Databases in Networked Information Systems (DNIS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8381))

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Abstract

Master Data Management (MDM) has been evaluated under the contexts of Enterprise Architecture (EA), Semantic Web, Service Oriented Architecture (SOA) and Business Process Integration (BPI). However, there have been very few studies on operations of MDM under a Cloud Computing environment. Accordingly, we have analyzed the operational issues caused by migrating the MDM operations into the Cloud Computing environment, in particular into Software as a Service. Furthermore, we have pointed out the insufficient policy of the security framework in regards to the disclosure, and also pointed out the necessity to define a constraints model for security policy that is available in designing the operations of MDM among multiple SaaS/ASP and BPaaS providers. In this paper, we define a more precise constraints model by applying the first order predicate logic and inductive approach. Furthermore, we give explanatory description about the contexts of this formularization.

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References

  1. Mosley, M., Brackett, M., Earley, S., Henderson, D.: The DAMA Guide to The Data Management Body of Knowledge (DAMA-DMBOK Guide): The Data Management association (2010)

    Google Scholar 

  2. Dreibelbis, A., Hechler, E., et al.: Enterprise Master Data Management. IBM Press (2008)

    Google Scholar 

  3. Kikuchi.S.: Structural Analysis of Issues in Exchanging Qualified Master Data under Cloud Computing. Submitted to International Journal of Computational Science and Engineering, 1–13 (December 5, 2012) (to appear)

    Google Scholar 

  4. Stoitsev, V., Grefen, P.: Business Process Technology and the Cloud: defining a Business Process Cloud Platform: BETA Working Paper 2012 (2012), cms.ieis.tue.nl/Beta/Files/WorkingPapers/wp_393.pdf

  5. American National Standard for Information Technology – Role Based Access Control, INCITS 359-2004 (2004)

    Google Scholar 

  6. Comerio, M., Trong, H.L., Batini, C., Dustdar, S.: Service-oriented Data Quality Engineering and Data Publishing in the Cloud. In: 2010 IEEE International Conference on Service-Oriented Computing and Application, SOC 2010 (2010)

    Google Scholar 

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© 2014 Springer International Publishing Switzerland

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Kikuchi, S. (2014). An Inductive and Semantic Model of Constraints for Master Data Management under Cloud Computing. In: Madaan, A., Kikuchi, S., Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2014. Lecture Notes in Computer Science, vol 8381. Springer, Cham. https://doi.org/10.1007/978-3-319-05693-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-05693-7_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05692-0

  • Online ISBN: 978-3-319-05693-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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