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Data Cleansing for Service-Oriented Architecture

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3590))

Abstract

Service-Oriented Architecture (SOA) is a new paradigm for integrating distributed software, especially e-Business application. It is essential to exchange reliable data between services. In this paper, we propose a methodology for detecting and cleansing dirty data between services, which is different from cleansing static and large data on database systems. We also develop a data cleansing service based on SOA. The service for cleansing interacting data makes it possible to improve the quality of services and to manage data effectively for a variety of SOA-based applications. As an empirical study, we applied this service to clean dirty data between CRM and ERP services and showed that the dirty data rate could be reduced by more than 30%.

This work was partially supported by Grant No.R04-2003-000-10139-0 from the Basic Research Program of the Korea Science & Engineering Foundation.

This work was partially supported by University IT Research Center Project.

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References

  1. Lee, G., Lee, G.C.: Standardization Trend and Development Direction of Web Services. Database Research Journals of KISS 19(1), 80–87 (2003.3)

    Google Scholar 

  2. Papazoglou, M.P., Georgakopoulos, D.: Service-Oriented Computing. Communication of the ACM 46(10), 25–28 (2003)

    Google Scholar 

  3. Johnson, T., Dasu, T.: Data Quality and Data Cleaning. In: Tutorials of 10th SIGKDD (2004)

    Google Scholar 

  4. Dasu, T., Johnson, T., Muthukrishnan, S., Shkapenyuk, V.: Mining Data Structure; Or, How to Build a Data Quality Browser. In: Proceedings of SIGMOD Conf., pp. 240–251 (2002)

    Google Scholar 

  5. Hernandez, M., Stolfo, S.: Real-world data is dirty: data cleansing and the merge/purge problem. Data Mining and Knowledge Discovery 2(1), 9–37 (1998)

    Article  Google Scholar 

  6. Lee, M., Lu, H., Ling, T., Ko, Y.: Cleansing Data for Mining and Warehousing. In: Proceedings of 10th DEXA (1999)

    Google Scholar 

  7. Hernandez, M., Miller, R., Hass, L.: Schema Mappings as Query Discovery. In: Proceedings of Intl. Conf. VLDB (2001)

    Google Scholar 

  8. Breunig, M.M., Kriegel, H.-P., Ng, R., Sander, J.: LOF: Identifying Density-Based Local Outliers. In: Proceedings of SIGMOD Conf. (2000)

    Google Scholar 

  9. Kim, W., Choi, B., Hong, E.-K., Kim, S.-K., Lee, D.: A Taxonomy of Dirty Data. The Data Mining and Knowledge Discovery Journal 7(1), 81–99 (2003)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Lee, JW., Moon, E., Choi, B. (2005). Data Cleansing for Service-Oriented Architecture . In: Bauknecht, K., Pröll, B., Werthner, H. (eds) E-Commerce and Web Technologies. EC-Web 2005. Lecture Notes in Computer Science, vol 3590. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11545163_9

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  • DOI: https://doi.org/10.1007/11545163_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28467-3

  • Online ISBN: 978-3-540-31736-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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