Knowledge Base for Database Design.
Jerzy J. Korczak, Leszek A. Maciaszek, G. J. Stafford:
Knowledge Base for Database Design.
DASFAA 1989: 61-68@inproceedings{DBLP:conf/dasfaa/KorczakMS89,
author = {Jerzy J. Korczak and
Leszek A. Maciaszek and
G. J. Stafford},
editor = {Sukho Lee and
Hideko S. Kunii and
Won Kim and
In Sup Paik and
Yahiko Kambayashi},
title = {Knowledge Base for Database Design},
booktitle = {International Symposium on Database Systems for Advanced Applications,
Seoul, Korea, April 10-12, 1989},
publisher = {Dept. of Computer Science, KAIST, P.O. Box 150, ChongRyang, Seoul,
131-650, Korea},
year = {1989},
pages = {61-68},
ee = {db/conf/dasfaa/KorczakMS89.html},
crossref = {DBLP:conf/dasfaa/89},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
This paper describes the database design knowledge of a
computer-assisted database design tool, called the Intelligent
Database Design Kit (IDDK), used to develop database systems.
The IDDK knowledge base is stored in the form of a database
dictionary based on an extended entity-relationship-attribute
model. The database dictionary is central to the knowledge
engineering approach of the IDDK implementation strategy. The
knowledge-based dictionary is a repository of meta-data (atomic
facts, concepts, definitions, inference rules, heuristics) for a
database system development. IDDK tools are developed using,
to a large extent, semantic models and artificial intelligence
techniques. The paper introduces computer-assisted extensions
to Chen's entity-relationship model, in particular, recursive,
subset, generic, and nested relationship concepts. An
architecture and framework for intelligent database design is
presented. The database design knowledge is divided into a
declarative part (containing a description of entities, relationships
and attributes) and a procedural part (defining design
operations). While driving the IDDK tools, the knowledge base
maintains basic consistency checks. In fact, the same
methodology that supports the database design activities is used
to implement the knowledge base. The IDDK interface to the
knowledge base editor is based on a standard Macintosh
interface extended with database design-oriented pallette icons
and graphical editing tools.
Copyright © 1989 by The Organizing Commitee of the International Symposium on Database Systems for Advanced Applications. Permission to copy without all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the DASFAA copyright notice and the
title of the publication and its date appear, and notice is given that copying is by permission of the Organizing Commitee of the International Symposium on Database Systems for Advanced Applications. To copy otherwise, or to republish, requires a fee and/or special permission from the Organizing Commitee.
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BibTeX
References
- [1]
- Michael L. Brodie, John Mylopoulos (Eds.):
On Knowledge Base Management Systems: Integrating Artificial Intelligence and Database Technologies, Book resulting from the Islamorada Workshop 1985.
Topics in Information Systems Springer 1986, ISBN 3-540-96382-0
Contents BibTeX
- [2]
- Peter P. Chen:
The Entity-Relationship Model - Toward a Unified View of Data.
ACM Trans. Database Syst. 1(1): 9-36(1976) BibTeX
- [3]
- Daniel R. Dolk, Robert A. Kirsch II:
A Relational Information Resource Dictionary System.
Commun. ACM 30(1): 48-61(1987) BibTeX
- [4]
- Richard A. Frost:
Introduction to Knowledge Base Systems.
Collins 1986, ISBN 0-00-383114-0
BibTeX
- [5]
- Alan H. Goldfine:
The Information Resource Dictionary System.
ER 1985: 114-122 BibTeX
- [6]
- ...
- [7]
- ...
- [8]
- ...
- [9]
- ...
- [10]
- ...
- [11]
- Walter D. Potter, Robert P. Trueblood:
Traditional, Semantic, and Hyper-Semantic Approaches to Data Modeling.
IEEE Computer 21(6): 53-63(1988) BibTeX
- [12]
- John Miles Smith, Diane C. P. Smith:
Database Abstractions: Aggregation and Generalization.
ACM Trans. Database Syst. 2(2): 105-133(1977) BibTeX
- [13]
- Rolf A. Stachowitz:
A formal framework for describing and classifying semantic data models.
Inf. Syst. 10(1): 77-96(1985) BibTeX
- [14]
- ...
BibTeX
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