Skip to main content

Data Warehouse Scenarios for Model Management

  • Conference paper
  • First Online:
Book cover Conceptual Modeling — ER 2000 (ER 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1920))

Included in the following conference series:

Abstract

Model management is a framework for supporting meta-data related applications where models and mappings are manipulated as first class objects using operations such as Match, Merge, ApplyFunction, and Compose. To demonstrate the approach, we show how to use model management in two scenarios related to loading data warehouses. The case study illustrates the value of model management as a methodology for approaching meta-data related problems. It also helps clarify the required semantics of key operations. These detailed scenarios provide evidence that generic model management is useful and, very likely, implementable.

On leave from University of Leipzig (Germany), Institute of Computer Science.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bernstein, P.A.: Panel: Is Generic Metadata Management Feasible? VLDB 2000

    Google Scholar 

  2. Bernstein, P.A., Levy, A., Pottinger, R.: A Vision for Management of Complex Models. MSR-TR-2000-53, http://www.research.microsoft.com/pubs, June 2000

  3. Doan, AH., Domingos, P., Levy, A.: Learning Source Descriptions for Data Integration. Proc. WebDB 2000, pp81–92.

    Google Scholar 

  4. Jannink, J., Mitra, P., Neuhold, E., Pichai, S., Studer, R., Wiederhold, G.: An Algebra for Semantic Interoperation of Semistructured Data. Proc. 1999 IEEE Knowledge and Data Engineering Exchange Workshop (KDEX’99), Nov. 1999.

    Google Scholar 

  5. Li, W., Clifton, C.: Semantic Integration in Heterogeneous Databases using Neural Networks. Proc. VLDB94

    Google Scholar 

  6. Li, W., Clifton, C.: SEMINT: A Tool for Identifying Attribute Correspondences in Heterogeneous Databases Using Neural Network. Data and Knowledge Engineering, 33 (1), 2000

    Google Scholar 

  7. Miller, R., Ioannidis, Y.E., Ramakrishnan, R.: Schema Equivalence in Hetereogeneous Systems: Bridging Theory and Practice. Information Systems 19(1), 3–31, 1994

    Article  Google Scholar 

  8. Milo, T., Zohar, S.: Using Schema Matching to Simplify Heterogeneous Data Translation. Proc. VLDB98

    Google Scholar 

  9. Mitra, P., Wiederhold, G., Jannink, J.: Semi-automatic Integration of Knowledge Sources. Proc. of Fusion’ 99, Sunnyvale, USA, July 1999

    Google Scholar 

  10. Mitra, P., Wiederhold, G., Kersten, M.: A Graph-Oriented Model for Articulation of Ontology Interdependencies; Proc. Extending DataBase Technologies, EDBT 2000, LNCS Springer Verlag.

    Google Scholar 

  11. Mylopoulos, J., Motschnig-Pitrik, R.: Partitioning Information Bases with Contexts. Proc.3rd CoopIS, Vienna, pp. 44–54, May 1995.

    Google Scholar 

  12. Palopoli, L., Sacca, D., Ursino, D.: Semi-automatic, semantic discovery of properties from database schemas. Proc. IDEAS, 1998.

    Google Scholar 

  13. Palopoli, L., Sacca, D., Ursino, D.: An automatic technique for detecting type conflicts in database schemas. Proc. CIKM, 1998

    Google Scholar 

  14. Shu, N.C., Housel, B.C., Taylor, R.W., Ghosh, S.P., Lum, V.Y.: EXPRESS: A Data EXtraction, Processing and REStructuring System. ACM TODS 2,2: 134–174, 1977.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bernstein, P.A., Rahm, E. (2000). Data Warehouse Scenarios for Model Management. In: Laender, A.H.F., Liddle, S.W., Storey, V.C. (eds) Conceptual Modeling — ER 2000. ER 2000. Lecture Notes in Computer Science, vol 1920. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45393-8_1

Download citation

  • DOI: https://doi.org/10.1007/3-540-45393-8_1

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41072-0

  • Online ISBN: 978-3-540-45393-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics