This paper is concerned with the concept of grounding enterprise models in terms of an underlying fact-based model, as a way to add more meaning to these enterprise models. We motivate the need for doing so in terms of a fundamental understanding of conceptual modelling, and enterprise modelling in particular. We also clarify why, next to e.g. adding more meaning by using formal semantics, or mapping the model to a foundational ontology, it remains important to ground enterprise models on fact-based models that capture the natural way in which people converse about/in their domain. The presented concepts are illustrated by means of a running example, while also reflecting on, and summarising, the results of earlier experiments in grounding different enterprise models.
CITATION STYLE
Proper, H. A., Bjeković, M., van Gils, B., & Hoppenbrouwers, S. J. B. A. (2018). Towards grounded enterprise modelling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10697 LNCS, pp. 141–151). Springer Verlag. https://doi.org/10.1007/978-3-319-73805-5_15
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