Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2024
Abstract
As any discipline matures, its research communities reflect on the epistemological foundations that support their research and discuss how the discipline can, and should, progress. This type of introspection is typically observed in the natural sciences, where researchers question the nature of their fields, the standards of rigor applied, and the impact of their work. As researchers in conceptual modeling, we should continually reflect on, and discuss, the theories and practice of conceptual modeling to ensure its ongoing relevance and consistency with the advancements in information technologies.
Discipline
Databases and Information Systems
Research Areas
Information Systems and Management
Areas of Excellence
Digital transformation
Publication
ER2024: Companion Proceedings of the 43rd International Conference on Conceptual Modeling: ER Forum, Special Topics, Posters and Demos, Pittsburgh, Pennsylvania, USA, October 28-31
First Page
1
Last Page
4
City or Country
Washington DC, USA
Citation
CASTELLANOS, Arturo; LUKYANENKO, Roman; SAMUEL, Binny M.; BEARD, Jon W.; CHIANG, Hsiang-Li (Roger); SIAU, Keng; STOREY, Veda C.; VANDERMEER, Debra; and WOO, Carson.
The ontology of fields as a foundation for conceptual modeling. (2024). ER2024: Companion Proceedings of the 43rd International Conference on Conceptual Modeling: ER Forum, Special Topics, Posters and Demos, Pittsburgh, Pennsylvania, USA, October 28-31. 1-4.
Available at: https://ink.library.smu.edu.sg/sis_research/11398
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.