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The uni-level description: A uniform framework for representing information in multiple data models

*Corresponding author for this work
  • Oregon Graduate Institute
Research Output:
Chapter in Book/Report/Conference proceeding
Chapter

Abstract

One advantage of having several different representation schemes and data models is that users can select the right representation and associated tools for their particular need. However, multiple representations introduce structural, model-based heterogeneity, making it difficult to combine information from different sources and exploit information using generic tools (e.g., for querying or browsing). In this work, we define a uniform representation based on a meta-data-model called the Uni-Level Description (ULD) that can accommodate and accurately store information in a broad range of data models. The ULD defines three distinct instance-of relationships plus a relationship for modeling conformance, which is used to connect (data) constructs to other (schema) constructs and can be constrained to reflect the requirements of the data model. The ULD has been shown to enable powerful, generic transformation rules and simple generic browsing capability over information represented in diverse data models and representation schemes.

Bibliographic Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Chapter

Original language

English

Pages from-to (Number of pages)

Pages 45-58 (14 pages)

Publication milestones

  • Published - 2003

Publication status

Published - 2003

Publisher

Springer Verlag

Publication series

  • Publication series name: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ISSN (Print): 0302-9743
    ISSN (Electronic): 1611-3349
    Volume: 2813
3540202994, 9783540202998

Publication IDs

  • Scopus: 0142188047

Host publication title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Host publication editors

  • Il-Yeol Song
  • Stephen W. Liddle
  • Tok Wang Ling
  • Peter Scheuermann