Spatio-Temporal Database Modeling with an Extended Entity-Relationship Model

2016 ◽  
pp. 1-10
Author(s):  
Nectaria Tryfona ◽  
Christian S. Jensen
Keyword(s):  
Temporal Database ◽  
Database Modeling ◽  
Entity Relationship Model ◽  
Relationship Model ◽  
Spatio Temporal ◽  
Entity Relationship

On the Representation of Temporal Dynamics

2011 ◽  
pp. 37-53 ◽  
Author(s):  
Salvatore T. March ◽  
Gove N. Allen
Keyword(s):  
Database Management ◽  
Temporal Dynamics ◽  
Temporal Database ◽  
Dynamic Nature ◽  
Entity Relationship Model ◽  
Relationship Model ◽  
Design Systems ◽  
State Changes ◽  
Entity Relationship ◽  
Entity Relationship Diagrams

Research in temporal database management has suggested that the Entity-Relationship model must be extended to compensate for its lack of constructs for representing the world’s dynamic nature. This claimed deficiency arises from the mistaken idea that Entity-Relationship diagrams represent only a snapshot of reality. Practitioners have long used Entity-Relationship diagrams without temporal extensions to design systems with rich support for temporality by using entities to represent the events that cause state changes, rather than by defining temporal attributes and relationships to record past states. While both approaches can represent temporality, only the event approach maintains modeling parsimony and represents why a particular state exists.

Entity Relationship Model

2018 ◽  
pp. 1315-1322
Author(s):  
Il-Yeol Song ◽  
Peter P. Chen
Keyword(s):  
Entity Relationship Model ◽  
Relationship Model ◽  
Entity Relationship
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