DocumentCode
3323957
Title
Model Management Engine for Data Integration with Reverse-Engineering Support
Author
Gubanov, Michael N. ; Bernstein, Philip A. ; Moshchuk, Alexander
Author_Institution
Comput. Sci. & Eng., Univ. of Washington, Seattle, WA
fYear
2008
fDate
7-12 April 2008
Firstpage
1319
Lastpage
1321
Abstract
Model management is a high-level programming language designed to efficiently manipulate schemas and mappings. It is comprised of robust operators that combined in short programs can solve complex metadata-oriented problems in a compact way. For instance, countless enterprise data integration scenarios can be easily expressed in this high-level language thus saving hundreds of development man-hours. Here we present the first model management engine that has reverse-engineering support for data integration, which is one of the most pressing metadata-oriented problems. It merges two schemas based on the mappings between them and allows user to correct the result keeping all the mappings in sync automatically. For user it is much more convenient than determining which mappings to correct in order to get desired result. In addition, the engine supports restructuring merging which is important when the sources are structured differently and cannot be mapped directly. While making schema merging fully automatic is not yet possible, our work simplifies and automates this process to make it practical in complex data integration scenarios.
Keywords
business data processing; merging; meta data; reverse engineering; complex metadata-oriented problems; enterprise data integration; high-level programming language; model management engine; reverse-engineering support; schema merging; Computer languages; Computer science; Data engineering; Design engineering; Engineering management; Engines; High level languages; Merging; Pressing; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on
Conference_Location
Cancun
Print_ISBN
978-1-4244-1836-7
Electronic_ISBN
978-1-4244-1837-4
Type
conf
DOI
10.1109/ICDE.2008.4497542
Filename
4497542
Link To Document