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The Application of Taxonomies in the Context of Configurative Reference Modelling

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Data Analysis, Machine Learning and Applications
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Abstract

The manual customisation of reference models to suite special purposes is an exhaustive task that has to be accomplished thoroughly to preserve, explicit and extend the inherit intention. This can be facilitated by the usage of automatisms like those being provided by the Configurative Reference Modelling approach. Thus, the reference model has to be enriched by data describing for which scenario a certain element is relevant. By assigning this data to application contexts, it builds a taxonomy. This paper aims to illustrate the advantage of the usage of this taxonomy during three relevant phases of Configurative Reference Modelling, Project Aim Definition, Construction and Configuration of the configurable reference model.

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Knackstedt, R., Stein, A. (2008). The Application of Taxonomies in the Context of Configurative Reference Modelling. In: Preisach, C., Burkhardt, H., Schmidt-Thieme, L., Decker, R. (eds) Data Analysis, Machine Learning and Applications. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78246-9_44

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