David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
An essential aspect of conceptual data modeling methodologies is the language’s expressiveness so as to represent the subject domain as precise as possible to obtain good quality models and, consequently, software. To gain better insight in the characteristics of the main conceptual modeling languages, we conducted a comparison between ORM, ORM2, UML, ER, and EER with the aid of Description Logic languages of the DLR family and the new formally defined generic conceptual data modeling language CMcom that is based on DLRifd. ORM, ER, EER, and UML class diagrams are proper fragments of ORM2 and CMcom has the most expressive common denominator with these languages. CMcom simplifies prospects for automated, online, interoperability among the considered languages so that modelers not only can continue using their preferred modeling language yet be compatible with the other ones, but also have a common ground that eases database and software integration based on commonly used conceptual data models.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Andre Bergholz, Stephan Heymann, Jörg A. Schenk & JohannChristoph Freytag (2001). Biological Sequences Integrated: A Relational Database Approach. Acta Biotheoretica 49 (3).
Robert L. Ashenhurst (1996). Ontological Aspects of Information Modeling. Minds and Machines 6 (3):287-394.
Isabelle Peschard (2011). Modeling and Experimenting. In Paul Humphreys & Cyrille Imbert (eds.), Models, Simulations, and Representations. Routledge
Mustafa Jarrar, Towards Automated Reasoning on ORM Schemes - Mapping ORM Into the DLRidf Description Logic.
Lynn Santelmann (1999). The Power of Cross-Linguistic Analysis: A Key Tool for Developing Explanatory Models of Human Language. Behavioral and Brain Sciences 22 (6):1036-1037.
Timothy R. Colburn (1998). Information Modeling Aspects of Software Development. Minds and Machines 8 (3):375-393.
Added to index2009-01-28
Total downloads33 ( #121,536 of 1,907,141 )
Recent downloads (6 months)6 ( #129,029 of 1,907,141 )
How can I increase my downloads?