An introduction to database systems: vol. I (4th ed.)
An introduction to database systems: vol. I (4th ed.)
A logical design methodology for relational databases using the extended entity-relationship model
ACM Computing Surveys (CSUR)
ADDS: A system for automatic database schema design based on the binary-relationship model
Data & Knowledge Engineering
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
CADISLC '88 Proceedings of the IFUP WG8.1 conference CRIS88 on Computerized assistance during the information systems life cycle
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
On taxonomic reasoning in conceptual design
ACM Transactions on Database Systems (TODS)
Database design with common sense business reasoning and learning
ACM Transactions on Database Systems (TODS)
Knowledge-based approaches to database design
MIS Quarterly
Semantically unlocking database content through ontology-based mediation
SWDB'04 Proceedings of the Second international conference on Semantic Web and Databases
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Tools and methods that transform higher level formalisms into logical database designs become very important. Rarely if ever do these transformations take into account integrity constraints existing in the “conceptual” model. Yet these become essential if one is forced to introduce redundancies for reasons of e.g. query efficiency. We therefore adopted the Binary Relationship Model (or “NIAM”) that is rich in constraints and built a flexible tool, RIDL*, that graphically captures NIAM semantic networks, analyzes them and then transforms them into relational designs (normalized or not), under the control of a database engineer assisted by a rule base. This is made possible by a rule-driven implementation of a new, stepwise synthesis process, and its benefits are illustrated by its treatment of e.g. subtypes. RIDL* is operational at several industrial sites in Europe and the U.S. on sizeable database projects.