The Application of Taxonomies in the Context of Configurative Reference Modelling
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.
Cite as
Knackstedt, R., & Stein, A. (2008). The Application of Taxonomies in the Context of Configurative Reference Modelling. In Preisach, C., Burkhardt, H., Schmidt-Tieme, L., & Decker, R. (Eds.), Data Analysis, Machine Learning and Applications (pp. 373–380). Studies in Classification, Data Analysis, and Knowledge Organization. Berlin, Heidelberg: Springer.Details
Publication type
Research article in proceedings (conference)
Peer reviewed
Yes
Publication status
Published
Year
2008
Conference
31st Annual Conference of the Gesellschaft für Klassifikation E.V.
Venue
Freiburg, Germany
Book title
Data Analysis, Machine Learning and Applications
Editor
Preisach, C.; Burkhardt, H.; Schmidt-Tieme, L.; Decker, R.
Start page
373
End page
380
Title of series
Studies in Classification, Data Analysis, and Knowledge Organization
Publisher
Springer
Place
Berlin, Heidelberg
Language
English
ISSN
1431-8814
ISBN
978-3-540-78239-1
DOI