Title
Accommodating mesodata into conceptual modelling methodologies
Abstract
Mesodata modelling is a recently developed approach for enhancing a data model's capabilities by providing for more advanced semantics to be associated with the domain of an attribute. Mesodata supplies both an inter-value structure to the domain and a set of operations applicable to that structure that may be used to facilitate additional functionality in a database. We argue that conceptual modelling methodologies would be semantically richer if they were able to express the semantics of complex data types for attribute domains. This paper investigates the accommodation of mesodata into the entity-relationship and object role modelling, presenting the Mesodata Entity-Relationship (MDER) model and Mesodata Object Role Modelling (MDORM), which show how the mesodata concept can be incorporated into conceptual modelling methodologies to include the semantics of complex-domain structures.
Year
DOI
Venue
2008
10.1016/j.infsof.2007.05.001
Information & Software Technology
Keywords
Field
DocType
mesodata modelling,er/eer,complex-domain structure,conceptual modelling methodology,data model,mesodata entity-relationship,complex data type,mdorm,orm,conceptual modelling,mesodata object role modelling,advanced semantics,attribute domain,object role modelling,mder,complex data,entity relationship
Data mining,Computer science,Complex data type,Object role modelling,Data model,Conceptual model (computer science),Semantics
Journal
Volume
Issue
ISSN
50
5
Information and Software Technology
Citations 
PageRank 
References 
1
0.36
30
Authors
3
Name
Order
Citations
PageRank
Somluck La-Ongsri1101.31
John F. Roddick21908331.20
Denise De Vries3538.14