The uni-level description: A uniform framework for representing information in multiple data models
- Shawn Bowers(corresponding author),
- Lois Delcambre
- Oregon Graduate Institute
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
Original language
EnglishPages from-to (Number of pages)
Pages 45-58 (14 pages)Publication milestones
- Published - 2003
Publication status
Publisher
Springer VerlagPublication 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
ISBN (Print)
3540202994, 9783540202998Publication 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
