Abstract
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.
This work has been partially sponsored by the Fonds National de la Recherche Luxembourg (www.fnr.lu), via the ValCoLa and CoBALab projects.
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- 1.
In principle, we would prefer to use the word “semantics” here. However, since the word “semantics”, in our computer science oriented community, tends to be equated to only mean “formal semantics”, we will use the word meaning.
- 2.
More colloquially also known as the Sapir-Whorf hypothesis.
- 3.
To keep the diagram clean, we have omitted all of the so-called reference schemes, which identify how e.g. a Doctor or a Patient is referred to in this domain.
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Proper, H.A., Bjeković, M., van Gils, B., Hoppenbrouwers, S.J.B.A. (2018). Towards Grounded Enterprise Modelling. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems. OTM 2017 Workshops. OTM 2017. Lecture Notes in Computer Science, vol 10697. Springer, Cham. https://doi.org/10.1007/978-3-319-73805-5_15
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