skip to main content
10.1145/956060.956076acmconferencesArticle/Chapter ViewAbstractPublication PagescikmConference Proceedingsconference-collections
Article

Using AutoMed metadata in data warehousing environments

Authors Info & Claims
Published:07 November 2003Publication History

ABSTRACT

What kind of metadata can be used for expressing the multiplicity of data models and the data transformation and integration processes in data warehousing environments? How can this metadata be further used for supporting other data warehouse activities? We examine how these questions are addressed by AutoMed, a system for expressing data transformation and integration processes in heterogeneous database environments.

References

  1. Lars Baekgaard. Event-entity-relationship modeling in data warehouse environments. In Proc. DOLAP'9, pages 9--14, 1999.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. P. Buneman, S.~Khanna, and W.C. Tan. Why and Where: A characterization of data provenance. In Proc. ICDT'01, LNCS 1973, pages 316--330, 2001.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. P. Buneman et al. Comprehension syntax. SIGMOD Record, 23(1):87--96, 1994.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. D. Calvanese, G. Giacomo, M. Lenzerini, D. Nardi, and R. Rosati. A principled approach to data integration and reconciliation in data warehousing. In Proc. DMDW'99, 1999.]]Google ScholarGoogle Scholar
  5. Surajit Chaudhuri and Umeshwar Dayal. An overview of data warehousing and {OLAP technology. SIGMOD Record, 26(1):65--74, 1997.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Y. Cui and J. Widom. Lineage tracing for general data warehouse transformations. Proc. VLDB'01, pages 471--480, 2001.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Y. Cui, J. Widom, and J. L. Wiener. Tracing the lineage of view data in a warehousing environment. ACM Transactions on Database Systems, 25(2):179--227, 2000.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. H. Fan. Incremental view maintenance and data lineage tracing in heterogeneous database environments. In Proc. BNCOD'02 PhD Summer School, Sheffied, pages 14--21, 2002.]]Google ScholarGoogle Scholar
  9. H. Fan and A. Poulovassilis. Tracing data lineage using schema transformation pathways. In Knowledge Transformation for the Semantic Web, pages 64--79. IOS Press, 2003.]]Google ScholarGoogle Scholar
  10. M. Golfarelli and S. Rizzi. A methodological framework for data warehouse design. In Proc. DOLAP '98, 1998.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Holger Hinrichs and Thomas Aden. An {ISO 9001: 2000 compliant quality management system for data integration in data warehouse systems. In Proc. DMDW'01, 2001.]]Google ScholarGoogle Scholar
  12. B. Hsemann, J. Lechtenbürger, and G. Vossen. Conceptual data warehouse modeling. In Proc. DMDW'00, 2000.]]Google ScholarGoogle Scholar
  13. E. Jasper, N. Tong, P. McBrien, and A. Poulovassilis. View generation and optimisation in the AutoMed data integration framework. Technical report, AutoMed Project, 2003.]]Google ScholarGoogle Scholar
  14. P. McBrien and A. Poulovassilis. A uniform approach to inter-model transformations. In Proc. CAiSE'99, LNCS 1626, pages 333--348, 1999. In Proc. ICDE'03, 2003.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. P. McBrien and A. Poulovassilis. Data integration by Bi-directional schema transfformation rules In Proc. ICDE'03, 2003.]]Google ScholarGoogle Scholar
  16. D. Moody and M. Kortink. From enterprise models to dimensional models: a methodology for data warehouse and data mart design. In Proc. DMDW'00, 2000.]]Google ScholarGoogle Scholar
  17. Erhard Rahm and Hong Hai Do. Data cleaning: Problems and current approaches. IEEE Data Engineering Bulletin, 23(4):3--13, 2000.]]Google ScholarGoogle Scholar
  18. D. Theodoratos. Semantic integration and querying of heterogeneous data sources using a hypergraph data model. In Proc. BNCOD'02, LNCS 2405, pages 166--182, 2002.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. N. Tryfona, F. Busborg, and J. Christiansen. starER: A conceptual model for data warehouse design. In Proc. DOLAP '99, pages 3--8, 1999.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. A. Tsois, N. Karayannidis, and T. Sellis. MAC: Conceptual data modeling for OLAP. In Proc. DMDW'01, 2001.]]Google ScholarGoogle Scholar
  21. P. Vassiliadis, A. Simitsis, and S. Skiadopoulos. Conceptual modeling for {ETL processes. In Proc. DOLAP'02, 2002.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. A. Woodruff and M. Stonebraker. Supporting fine-grained data lineage in a database visualization environment. In ACDE'97, UK, pages 91--102.]] Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Using AutoMed metadata in data warehousing environments

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        DOLAP '03: Proceedings of the 6th ACM international workshop on Data warehousing and OLAP
        November 2003
        104 pages
        ISBN:1581137273
        DOI:10.1145/956060

        Copyright © 2003 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 7 November 2003

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • Article

        Acceptance Rates

        Overall Acceptance Rate29of79submissions,37%

        Upcoming Conference

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader