Advertisement

Avoiding Error-Prone Reordering Optimization During Legal Systems Migration

  • Youlin Fang
  • Heng Wang
  • Dongqing Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3588)

Abstract

During Legal information systems migrations, one major problem is to handle attribute value cleaning. In the paper, we first show many data cleaning steps process on the values of the same data attributes and their derivations, and users may ignore or be puzzled by the data transforms that are defined to clean and transform the data sets, and such process can also be prone to error during process optimization. In this paper, we first define two major such problems as assignment conflict and range conflict,and giving problem definitions for such conflicts. Then we present two separate algorithms respectively to discover and solve the conflicts.

Keywords

Partial Order Condition Domain Data Cleaning Execution Order Loop Domain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Fu, X., Bultan, T., Su, J.: Model Checking XML Manipulating Software. In: Proc. International Symposium on Software Testing and Analysis (ISSTA 2004) (July 2004)Google Scholar
  2. 2.
    Abiteboul, S., Cluet, S., Milo, T., Mogilevsky, P., Simeon, J., Zohar, S.: Tools for data translation and integration. IEEE Data Engineering Bulletin 22(1), 3–8 (1999)Google Scholar
  3. 3.
    Chauhuri, S., Dayal, U.: An overview of data warehousing and OLAP technology. SIGMOD Record 26(1), 65–74 (1997)CrossRefGoogle Scholar
  4. 4.
    Galhardas, H., Florescu, D., Shasha, D., Simon, E.: Ajax: An extensible Data Cleaning Tool. In: Proc.2000 ACM SIGMOD Int. Conf. On Management of Data, Dallas, Texas (2000)Google Scholar
  5. 5.
    Rahm, E., Do, H.-H.: Data Cleaning: Problems and Current Appoaches. In: Bulletin of IEEE Computer Society Technical Committee on Data Engineering (2000)Google Scholar
  6. 6.
    Vassiladis, P., Vagena, Z., Karayannids, N., Sellis, T.: Arktos: Toward The Modeling, Design, Control and Execution of ETL Processes. Information Systems 26(8), 537–561 (2001)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Youlin Fang
    • 1
  • Heng Wang
    • 2
  • Dongqing Yang
    • 3
  1. 1.College of Computer ScienceBejing University of TechnologyBeijingP.R.China
  2. 2.School of Economics and ManagementTsinghua UniversityBeijingP.R.China
  3. 3.School of Electrical Engineering and Computer SciencePeking UniversityBeijingP.R.China

Personalised recommendations