A logical design methodology for relational databases using the extended entity-relationship model
ACM Computing Surveys (CSUR)
A methodology for creating user views in database design
ACM Transactions on Database Systems (TODS)
Enabling technology for knowledge sharing
AI Magazine
Modelling of set membership: the notion and the issues
Data & Knowledge Engineering
Database design with common sense business reasoning and learning
ACM Transactions on Database Systems (TODS)
An ontology-based expert system for database design
Data & Knowledge Engineering - Special issue on ER '97
Data abstractions: why and how?
Data & Knowledge Engineering
A generic framework for the modeling of contexts and its applications
Data & Knowledge Engineering
Understanding semantic relationships
The VLDB Journal — The International Journal on Very Large Data Bases
IEEE Transactions on Knowledge and Data Engineering
Guest Editors' Introduction: Ontologies
IEEE Intelligent Systems
An Ontology for Classifying the Semantics of Relationships in Database Design
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Association: A Database Abstraction for Semantic Modelling
ER '81 Proceedings of the Second International Conference on the Entity-Relationship Approach to Information Modeling and Analysis
Exploiting Domain Knowledge During the Automated Design of Object-Oriented Databases
ER '97 Proceedings of the 16th International Conference on Conceptual Modeling
An enhanced search interface for information discovery from digital libraries
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Comprehensible answers to précis queries
CAiSE'06 Proceedings of the 18th international conference on Advanced Information Systems Engineering
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Much of the research that deals with understanding the real world and representing it in a conceptual model uses the entity-relationship model as a means of representation. Although the relationship construct is a very important part of this model, the semantics of relationship verbs are usually not considered in much detail, due, in part, to their generic nature. In this research, an ontology for classifying relationships based upon their verb phrases is proposed. The ontology is intended to serve as a useful part of database design methodologies to understand, capture, and refine the semantics of an application. Testing of the ontology on a number of cases illustrates its usefulness.