Database systems: design, implementation and management
Database systems: design, implementation and management
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
An integrated approach to logical design of relational database schemes
ACM Transactions on Database Systems (TODS)
On the design of relational database schemata
ACM Transactions on Database Systems (TODS)
Improving database design through the analysis of relationships
ACM Transactions on Database Systems (TODS)
Temporal Entity-Relationship Models-A Survey
IEEE Transactions on Knowledge and Data Engineering
Extending ER Model Clustering by Relationship Clustering
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
Extracting symbolic objects from relational databases
DEXA '96 Proceedings of the 7th International Workshop on Database and Expert Systems Applications
Entities and relations for historical relational databases
TIME '97 Proceedings of the 4th International Workshop on Temporal Representation and Reasoning (TIME '97)
Extracting Entity-Relationship Schemas from Relational Databases: A Form-Driven Approach
WCRE '97 Proceedings of the Fourth Working Conference on Reverse Engineering (WCRE '97)
A Practical Approach to Knowledge Representation and Reasoning in Relational Databases
ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
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Efficient database design and construction is one of the most difficult and hard tasks for constructing information systems. During the database designing process, we have performed data modeling for understanding real world and business process easily. There is E-R model using entity and relationship between entities for supporting data modeling. Unlike E-R model, there is EA model using specific aspects. Both of these models define entities and are modeling with relationship, so we have understood easily complex real world. ER model is good for defining entity and relationship, but restrict concepts of abstraction and inheritance. In this paper, we propose a database conceptual modeling procedure, called I-ER modeling, through analyzing similarity and difference between E-A and E-R, applying abstraction concepts of E-A model. Using the I-ER(Improved E-R) modeling we can understand easily real world complexity for modeling entities and relationship.