Journal article
CAM: A Conceptual Modeling Framework based on the Analysis of Entity Classes and Association Types
Journal of database management, v 24(4), pp 51-80
01 Oct 2013
Abstract
The problem of identifying relevant classes (entities) and associations (relationships) is a fundamental problem for conceptual modeling. In a previous work the authors introduced a conceptual modeling methodology named OMP (Ontology-based Modeling Patterns), which is based on the analysis of class categories representing entity types that are organized in the form of ontology. Since then the authors have explored a way to improve the methodology. As a result, in this paper the authors introduce a new conceptual modeling framework, entitled CAM (Class/Association-analysis-based Modeling), which is based on the analysis and classification of association types as well as entity types. The main objective of CAM is to serve as a tool to facilitate teaching the fundamentals of conceptual modeling to students in a systematic way, by providing extensible and adaptable entity/association classificatory systems that can be directly used in the problem-solving process. In this paper the authors present the CAM framework and illustrate its application.
Metrics
Details
- Title
- CAM: A Conceptual Modeling Framework based on the Analysis of Entity Classes and Association Types
- Creators
- Sofia J. Athenikos - Drexel UniversityIl-Yeol Song - Drexel University
- Publication Details
- Journal of database management, v 24(4), pp 51-80
- Publisher
- IGI PUBL
- Number of pages
- 30
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000343387500003
- Scopus ID
- 2-s2.0-84902972039
- Other Identifier
- 991019168443804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Software Engineering