Solution CONTACTThomas Driessen • +49 (0)821 598 2486 • thomas.driessen@ds-lab.orgThe development of safety-critical, embedded systems often fails in terms of time limits and cost constraints. A commonly occurring reason is the vast amount of standards, guidelines and other mandatory defaults, which have to be considered for each artifact produced within the origination process. This outgrowth of additional commitments entails serious consequences, which are vividly depicted by the "Grey Report" ([1]) in 2009 and a similar report ([2]) in 2014.[1] tells of mean additional costs of 40% and temporal delays of 80% of projects within the British Armed Forces.[2] identifies the same problems as [1] and tells of single projects, whose temporal delay and cost increase amount to 200% of the originally planned values. Based on both reports, we identified 7 challenges which must be tackled in order to meet with the current grievance
Modular ontology management tries to overcome the disadvantages of large ontologies regarding reuse and performance. A possibility for the formalization of the various combinations are variability models, which originate from the software product line domain. Similar to that domain, knowledge models can then be individualized for a specific application through selection and exclusion of modules. However, the ontology repository as well as the requirements of the domain are not stable over time. A process is needed, that enables knowledge engineers and domain experts to adapt the principles of version and change management to the domain of modular ontology management. In this paper, we define the existing change scenarios and provide support for keeping the repository, the variability model and also the configurations consistent using Semantic Web technologies. The approach is presented with a use case from the enterprise architecture domain as running example.
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