1 option
Generic Model Management : Concepts and Algorithms / by Sergey Melnik.
LIBRA Q341 .P7 2004
Available from offsite location
- Format:
- Book
- Author/Creator:
- Melnik, Sergey, author.
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science 0302-9743 ; 2967.
- Lecture Notes in Computer Science, 0302-9743 ; 2967
- Language:
- English
- Subjects (All):
- Software engineering.
- Information storage and retrieval.
- Database management.
- Artificial intelligence.
- Programming languages (Electronic computers).
- Software Engineering/Programming and Operating Systems.
- Information Storage and Retrieval.
- Database Management.
- Software Engineering.
- Artificial Intelligence.
- Programming Languages, Compilers, Interpreters.
- Local Subjects:
- Software Engineering/Programming and Operating Systems.
- Information Storage and Retrieval.
- Database Management.
- Software Engineering.
- Artificial Intelligence.
- Programming Languages, Compilers, Interpreters.
- Physical Description:
- 1 online resource (XX, 244 pages) : 5 illustrations.
- Edition:
- First edition 2004.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
- System Details:
- text file PDF
- Summary:
- Many challenging problems in information systems engineering involve the manipulation of complex metadata artifacts or models, such as database schema, interface specifications, or object diagrams, and mappings between models. Applications solving metadata manipulation problems are complex and hard to build. The goal of generic model management is to reduce the amount of programming needed to solve such problems by providing a database infrastructure in which a set of high-level algebraic operators are applied to models and mappings as a whole rather than to their individual building blocks. This book presents a systematic study of the concepts and algorithms for generic model management. The first prototype of a generic model management system is described, the algebraic operators are introduced and analyzed, and novel algorithms for implementing them are developed. Using the prototype system and the operators presented, solutions are developed for several practically relevant problems, such as change propagation and reintegration.
- Contents:
- A Programming Platform for Model Management
- 1. Introduction
- 2. Conceptual Structures and Operators
- 3. Implementation and Applications
- A Semantics for Model Management Operators
- 4. State-Based Semantics
- 5. Change Propagation Scenario
- 6. State-Based Semantics in Rondo
- Schema Matching
- 7. Similarity Flooding Algorithm
- 8. Filters
- 9. Evaluation and Tuning
- Model Management in Perspective
- 10. Related Work
- 11. Conclusions and Outlook
- A. User Study: Gathering Intended Match Results
- B. Proofs of Simplification Theorems.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-24684-8
- 9783540246848
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.