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The Entity-Relationship Model

1999
The Entity-Relationship model (abbreviated to ER model) is a data model, which allows us to model the semantics of a conceptual database schema. Actually, the ER model is only a partial data model, since it only caters for the data structure and integrity constraint parts of a data model with no provision being made for a query and update language.
Mark Levene, George Loizou
openaire   +2 more sources

Expressing a Temporal Entity-Relationship Model as a Traditional Entity-Relationship Model

2015
According to the approach of conceptual database design, database models are designed from the Entity-Relationship (ER) model. However, the real world of most database applications are related to the temporal aspects, so data modelling using the ER diagrams had encountered many difficulties.
Quang Hoang, Thuong Pham
openaire   +1 more source

The Entity-Relationship model

Proceedings of the 2012 IEEE Global Engineering Education Conference (EDUCON), 2012
The importance of the Entity-Relationship in the understanding of data base design is discussed as is the relative importance that many Universities give to its teaching. The amount of time of those Universities, that allow public access to database program syllabuses, is contrasted and a simulation that allows the experimentation with various forms of
openaire   +1 more source

Leveled entity relationship model

1994
Layering ER diagrams has been a key tool to abstract the complexity of large data schemas generated by enterprise modeling. However, the current approaches have a certain impedance between successive steps of refining (or abstracting) ER diagrams. First, most approaches do not have a well-defined correspondence between an entity at a higher level and ...
Munish Gandhi   +2 more
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Entity-relationship modeling

IEEE Potentials, 1995
The entity-relationship (ER) model and its accompanying ER diagrams are widely used for database design and systems analysis. Many books and articles just provide a definition of each modeling component and give examples of the pre-built ER diagrams.
null Il-Yeol Song, K. Froehlich
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Evolution of entity–relationship modelling

Data & Knowledge Engineering, 2006
New modelling languages are continually being developed. Some of them are variants of existing ones, others are completely different, and a few become widely accepted. The overall variety of modelling languages can be explained by an evolutionary process that exhibits regularities.Evolution has been studied extensively in biology and linguistics.
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Foundations of entity-relationship modeling

Annals of Mathematics and Artificial Intelligence, 1993
Database design methodologies should facilitate database modeling, effectively support database processing, and transform a conceptual schema of the database to a high-performance database schema in the model of the corresponding DBMS. The Entity-Relationship Model is extended to theHigher-orderEntity-RelationshipModel (HERM) which can be used as a ...
openaire   +1 more source

Applications of the Entity-Relationship model

1982
Database design is a very difficult problem. Recently, the Entity-Relationship Model has been found very useful in helping the database designer to identify the information needs of users, and to design logical data structures in databases. In this paper, an application of the Entity-Relationship Model to the design of an order entry database is ...
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Constraint acquisition for Entity-Relationship models

Data & Knowledge Engineering, 2009
We establish search algorithms from the area of propositional logic as invaluable tools for the semantic knowledge acquisition in the conceptual database design phase. The acquisition of such domain knowledge is crucial for the quality of the target database.
Sven Hartmann, Sebastian Link, Thu Trinh
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Entity — Relationship modeling and fuzzy databases

1986 IEEE Second International Conference on Data Engineering, 1986
This work describes an integration of an entity/relationship model and fuzzy databases. It outlines a formal model for representing fuzziness in the ER model, and sketchs a version of the ER algebra, adapted to manipulating fuzzy databases.
Arie Zvieli, Peter P. Chen
openaire   +1 more source

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