Model management is a framework for supporting meta-data related applications where models and mappings are manipulated using operations such as Match, Merge, ApplyFunction, and Compose

Model Management Overview

 

Many problems encountered when building applications of database systems involve the manipulation of models. By "model," we mean a complex structure that represents a design artifact, such as a relational schema, object-oriented interface, UML model, XML DTD, web-site schema, semantic network, complex document, or software configuration.  Many uses of models involve managing changes in models and  transformations of data from one model into another.  These uses require an explicit representation of "mappings" between models. This work endeavors to make database systems easier to use for these applications by making "model" and "model mapping" first-class citizens with special operations that simplify their use.  We call this capability model management.

Microsoft Research Project Page

Current and Past UW Project Members

• Microsoft Researcher and UW Affiliate Faculty Phil Bernstein
• Professor Alon Halevy
• Jayant Madhavan
• Peter Mork
• Rachel Pottinger 

Publications and Presentations

• Mork, P., R. A. Pottinger, and P.A. Bernstein: Challenges in Precisely Aligning Models of Human Anatomy Using Generic Schema Matching. The 11th World Conference on Medical Informatics (Medinfo) 2004 (To Appear).
• Pottinger, R. A. and P. A. Bernstein, “Merging Models Based on Given Correspondences.” Proc. 29th VLDB Conference (PDF, 212KB).
• Melnik, S., E. Rahm, P. A. Bernstein, "Rondo: A Programming Platform for Generic Model Management," Proc. SIGMOD 2003, pp. 193-204 (PDF, 344KB). Extended version in Elsevier's Journal on Web Semantics, Volume 1, Number 1.
• P. A. Bernstein, "Applying Model Management to Classical Meta Data Problems," Proc. CIDR 2003, pp. 209-220 (PDF, 185KB).
• R.A. Pottinger, and P.A. Bernstein, "Creating a Mediated Schema Based on Initial Correspondences," IEEE Data Eng. Bulletin 25, 3 (Sept. 2002), pp. 26-31 (PS).
• Madhavan, J., P. A. Bernstein, P. Domingos, A.Y. Halevy, "Representing and Reasoning About Mappings between Domain Models,"  18th National Conference on Artificial Intelligence (AAAI 2002), Edmonton, Canada (PDF, 95KB).
• Madhavan, J., P. A. Bernstein, and E. Rahm, "Generic Schema Matching Using Cupid," Proc. VLDB 2001, pp. 49-58. PDF, 140KB.
• Bernstein, P.A. A. Y. Halevy, R.A. Pottinger, "A Vision for Management of Complex Models," SIGMOD Record, December 2000, PDF, 109KB
• Bernstein, P.A. and E. Rahm, "Data Warehouse Scenarios for Model Management," keynote address, ER2000 Conference Proceedings, Springer-Verlag, pp. 1-15 (slides, ER2000 Conference Web Site).
• Bernstein, P.A., "Is Generic Data Management Feasible?" panel discussion, Proc. VLDB 2000, pp. 660-662. (PDF, 29KB). Slides from participants (Laura Haas, Matthias Jarke, Erhard Rahm, Gio Wiederhold): Zip file, 235KB
• Bernstein, P.A., A.Y. Levy, R.A. Pottinger, "A Vision for Management of Complex Models," Microsoft Research Technical Report MSR-TR-2000-53, June 2000, PDF, 179KB