A constructive definition of third normal form
SIGMOD '76 Proceedings of the 1976 ACM SIGMOD international conference on Management of data
The data dictionary facilities of NDB
VLDB '78 Proceedings of the fourth international conference on Very Large Data Bases - Volume 4
A dialogue interface for data base applications
VLDB '80 Proceedings of the sixth international conference on Very Large Data Bases - Volume 6
An overview of recent data base research
ACM SIGMIS Database
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In recent years a great deal of work has been devoted to the design of interactive database query systems suitable for 'end users'. By contrast, there appears to be little comparable work on interactive facilities for database modification. This is surprising for two reasons. Firstly, update operations are of great practical significance. Users of transaction processing systems often spend a greater proportion of their time modifying a database than retrieving information from it. Secondly, update is a hard problem. It is vital to safeguard database consistency, and that implies a thorough understanding of the semantics of the data in question. A quick glance at the facilities for maintaining consistency in many current database management systems is enough to demonstrate that this is not a trivial matter.This paper describes an interactive approach to database modification which exposes the semantic problems and overcomes them. Four conceptually simple update operations - insert, delete, change and copy-are formulated in terms of a model of database consisting of entity sets and mappings. These operations lead naturally to the idea of update-by-dialogue: a system in which each of them is implemented as an interactive dialogue. The user is guided in each operation, relieving him of the burden of remembering how the database is structured and also avoiding the effects of negligence. Furthermore, the dialogues are driven from a stored description of the database structure and thus are completely general. They can be applied to any database and are even immune to changes in the database structure.