Synthesizing third normal form relations from functional dependencies
ACM Transactions on Database Systems (TODS)
Multivalued dependencies and a new normal form for relational databases
ACM Transactions on Database Systems (TODS)
Independent components of relations
ACM Transactions on Database Systems (TODS)
On the semantics of the relational data model
SIGMOD '75 Proceedings of the 1975 ACM SIGMOD international conference on Management of data
A unified approach to functional dependencies and relations
SIGMOD '75 Proceedings of the 1975 ACM SIGMOD international conference on Management of data
A complete axiomatization for functional and multivalued dependencies in database relations
SIGMOD '77 Proceedings of the 1977 ACM SIGMOD international conference on Management of data
Functional dependencies in a relational database and propositional logic
IBM Journal of Research and Development
Design by example for SQL table definitions with functional dependencies
The VLDB Journal — The International Journal on Very Large Data Bases
An extended synthesis algorithm for relational database schema design
Proceedings of the 2013 International Conference on Information Systems and Design of Communication
An overview of recent data base research
ACM SIGMIS Database
| Hi-index | 0.00 |
Two of the competing approaches to the logical design of relational databases are the third normal form decomposition approach of Codd and the synthetic approach of Bernstein and others. The synthetic approach seems on the surface to be the more powerful; unfortunately, to avoid serious problems, a nonintuitive constraint (the "uniqueness" of functional dependencies) must be assumed. We demonstrate the fourth normal form approach, which not only can deal with this difficulty, but which is also more powerful than either of the earlier approaches. The input of the new method includes attributes (potential column names), along with semantic information in the form of functional and multivalued dependencies; the output is a "good" (fourth normal form) logical design. The new method is semi-automatic, which is especially helpful in the case of a very large database with many attributes that interrelate in complex ways.