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Application of Domain Knowledge in Relational Schema Integration with Uncertainty

  • Conference paper
Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 144))

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Abstract

Schema integration is the activity of providing a unified representation of multiple data sources. The core problems in schema integration are: schema matching and schema merging. There are uncertain problems in schema matching and schema merging. To solve the uncertain problems of relational schema integration, Domain Knowledge Application Model (DKAM) is proposed as a component of Uncertain Relational Schema Integration Model (URSIM). An autonomic computing approach is adopted in DKAM. Semantic integration approach and D-S evidence combination approach are applied in URSIM. A new method is proposed to calculate reliability of global integrated schema in the paper. Experimental results show that URSIM is feasible and DKAM is valuable and advanced. In contrast with current methods for schema integration with uncertainty, URSIM is efficient and the time complexity is reduced.

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Author information

Authors and Affiliations

  1. Nanjing University of Science and Technology, Nanjing, China

    Wen Bin Hu & Hong Zhang

  2. Huaihai Institute of Technology, Lianyungang, China

    Wen Bin Hu

  3. SINOPEC Jiangsu Oil Exploration Corporation, Yangzhou, China

    Si Di Zhang

Authors
  1. Wen Bin Hu
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  2. Hong Zhang
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  3. Si Di Zhang
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Corresponding author

Correspondence to Wen Bin Hu .

Editor information

Editors and Affiliations

  1. Bina Nusantara University, Perumahan Menteng Metropolitan Kav K3-No1 7., Caking, Indonesia

    Ford Lumban Gaol

  2. , School of Computing and Mathematics, University of Western Sydney, Locked Bag 1797, Penrith, 2751, New South Wales, Australia

    Quang Vinh Nguyen

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Hu, W.B., Zhang, H., Di Zhang, S. (2012). Application of Domain Knowledge in Relational Schema Integration with Uncertainty. In: Gaol, F., Nguyen, Q. (eds) Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science. Advances in Intelligent and Soft Computing, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28314-7_27

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  • DOI: https://doi.org/10.1007/978-3-642-28314-7_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28313-0

  • Online ISBN: 978-3-642-28314-7

  • eBook Packages: EngineeringEngineering (R0)

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