Conceptual modeling is the foundation of system analysis and design methodologies. It is challenging because it requires a clear understanding of an application domain and the ability to translate the requirement specification into a conceptual data model. Semi-automated conceptual data modeling is a process of using an intelligent tool to aid the modeler for the purpose of building a quality conceptual data model. In this paper, we first present six categories of methodologies that can be used for developing conceptual data models. We then describe the characteristics of each category, compare these characteristics, and present related work of each category. We finally suggest a framework for semi-automatically generating conceptual data models from requirements and suggest challenging research topics.
|Title of host publication||Conceptual Modeling - 34th International Conference, ER 2015|
|Editors||Óscar Pastor López, Mong Li Lee, Stephen W. Liddle, Paul Johannesson, Andreas L. Opdahl|
|Number of pages||14|
|Publication status||Published - 2015|
|Event||34th International Conference on Conceptual Modeling, ER 2015 - Stockholm, Sweden|
Duration: 2015 Oct 19 → 2015 Oct 22
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||34th International Conference on Conceptual Modeling, ER 2015|
|Period||15/10/19 → 15/10/22|
Bibliographical notePublisher Copyright:
© Springer International Publishing Switzerland 2015.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)